【黑马AI就业班】人工智能python视频nlp机器视觉课程CV自然语言-goSyl

以下内容是本次资料的网盘结构目录图

阶段1-python基础编程
day01
00-课前须知【耗时整理‖免费分享 cunlove.cn】.mp4 (45.1 MB)
01-计算机的介绍.mp4 (49.0 MB)
02-编程语言介绍.mp4 (19.8 MB)
03-python语言介绍.mp4 (81.6 MB)
04-编译型语言和解释型语言介绍.mp4 (20.8 MB)
05-python解释器的介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (56.9 MB)
06-pycharm的介绍和安装.mp4 (40.8 MB)
07-使用pycharm创建工程.mp4 (14.6 MB)
08-pycharm的基础配置.mp4 (24.3 MB)
09-python中的注释.mp4 (46.6 MB)
10-pycharm使用中的小问题.mp4 (19.4 MB)
11-变量的使用.mp4 (23.9 MB)
12-上午知识回顾.mp4 (54.9 MB)
13-变量的数据类型.mp4 (35.5 MB)
14-标识符和关键字.mp4 (56.8 MB)
15-单占位符的格式化输出.mp4 (29.7 MB)
16-多占位符的格式化输出.mp4 (36.4 MB)
17-占位符的精度控制问题【耗时整理‖免费分享 cunlove.cn】.mp4 (31.9 MB)
18-print函数详解.mp4 (22.8 MB)
19-输入函数.mp4 (24.7 MB)
20-input接收的类型都是字符串类型.mp4 (22.1 MB)
21-数据类型转换.mp4 (38.4 MB)
22-今日总结.mp4 (50.6 MB)
共享文件软件使用.mp4 (26.0 MB)
day02
00-复习和反馈.mp4 (148.0 MB)
01-f-string字符串【耗时整理‖免费分享 cunlove.cn】.mp4 (65.1 MB)
02-数据类型转换补充【耗时整理‖免费分享 cunlove.cn】.mp4 (70.3 MB)
03-今日学习内容【耗时整理‖免费分享 cunlove.cn】.mp4 (13.8 MB)
04-算数运算符.mp4 (45.7 MB)
05-赋值运算符.mp4 (43.7 MB)
06-比较运算符.mp4 (27.1 MB)
07-字符串大小比较.mp4 (72.9 MB)
08-逻辑运算符.mp4 (24.3 MB)
09-上午知识回顾.mp4 (71.9 MB)
10-三种流程语句介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (12.7 MB)
11-单条件分支语句.mp4 (18.5 MB)
12-对立条件分支语句.mp4 (26.2 MB)
13-debug调试.mp4 (22.7 MB)
14-多条件分支语句.mp4 (60.6 MB)
15-练习讲解.mp4 (16.8 MB)
16-分支语句的嵌套.mp4 (33.1 MB)
17-猜拳游戏.mp4 (55.2 MB)
18-三目运算符.mp4 (17.8 MB)
19-循环语句的体验.mp4 (18.4 MB)
20-while循环语句详解.mp4 (33.7 MB)
21-今日总结.mp4 (21.4 MB)
day03
00-复习和反馈.mp4 (90.1 MB)
01-while应用-计算1-100累加和.mp4 (31.8 MB)
02-练习讲解.mp4 (30.0 MB)
03-while应用-计算1-100的偶数累加和.mp4 (13.6 MB)
04-循环嵌套的介绍.mp4 (58.8 MB)
05-循环嵌套的应用–打印矩形.mp4 (29.3 MB)
06-循环嵌套的应用–打印三角形.mp4 (31.3 MB)
07-猜拳游戏的优化.mp4 (64.9 MB)
08-for循环的使用.mp4 (37.1 MB)
09-range函数的使用.mp4 (37.6 MB)
10-for循环配合range函数使用.mp4 (18.6 MB)
11-for循环的应用–输出矩形.mp4 (24.0 MB)
12-for循环的应用–输出直角三角形.mp4 (21.8 MB)
13-for循环的应用–九九乘法表.mp4 (28.9 MB)
14-上午知识回顾.mp4 (50.7 MB)
15-for循环的应用–打印等腰三角形.mp4 (34.8 MB)
16-break的使用【耗时整理‖免费分享 cunlove.cn】.mp4 (20.1 MB)
17-continue的使用.mp4 (28.8 MB)
18-break和continue的注意事项.mp4 (54.0 MB)
19-循环中的else语句.mp4 (54.7 MB)
20-报数小游戏.mp4 (23.0 MB)
21-猜数游戏.mp4 (33.0 MB)
22-今日总结.mp4 (15.5 MB)
day04
00-复习和作业.mp4 (89.5 MB)
01-容器类型介绍.mp4 (19.6 MB)
02-字符串的定义.mp4 (27.0 MB)
03-多种引号嵌套使用.mp4 (25.7 MB)
04-字符串的下标.mp4 (38.1 MB)
05-字符串切片.mp4 (65.3 MB)
06-切片练习讲解.mp4 (12.2 MB)
07-字符串切片的省略模式.mp4 (38.6 MB)
08-find()方法的使用【耗时整理‖免费分享 cunlove.cn】.mp4 (41.1 MB)
09-index方法的使用.mp4 (41.3 MB)
10-字符串查找练习讲解.mp4 (22.7 MB)
11-上午知识回顾.mp4 (57.7 MB)
12-replace方法的使用.mp4 (25.8 MB)
13-split方法的使用.mp4 (36.1 MB)
14-字符串的应用.mp4 (41.0 MB)
15-字符串方法补充1.mp4 (47.2 MB)
16-字符串方法补充2.mp4 (53.9 MB)
17-列表的定义.mp4 (32.2 MB)
18-列表的遍历【耗时整理‖免费分享 cunlove.cn】.mp4 (15.3 MB)
19-列表的增的操作.mp4 (43.4 MB)
20-列表的查的操作.mp4 (31.3 MB)
21-今日总结.mp4 (30.0 MB)
day05
00-复习和作业讲解.mp4 (111.6 MB)
01-列表的删除操作.mp4 (63.2 MB)
02-在列表中删除数据时会影响原有数据的索引值.mp4 (26.1 MB)
03-列表的修改操作.mp4 (9.7 MB)
04-列表的反转和排序.mp4 (30.8 MB)
05-解决代码实现中的小问题.mp4 (33.6 MB)
06-列表的嵌套【耗时整理‖免费分享 cunlove.cn】.mp4 (36.3 MB)
07-列表的推导式.mp4 (38.7 MB)
08-推导式练习讲解.mp4 (17.5 MB)
09-元组定义.mp4 (34.6 MB)
10-元组的特性.mp4 (30.1 MB)
11-上午知识回顾.mp4 (36.4 MB)
12-元组的常见操作(仅有查询).mp4 (30.7 MB)
13-set集合的使用方法.mp4 (60.4 MB)
14-字典的定义.mp4 (39.1 MB)
15-字典的操作–查.mp4 (38.0 MB)
16-字典的增的操作.mp4 (23.0 MB)
17-字典的修改操作.mp4 (19.0 MB)
18-字典的删除操作.mp4 (22.5 MB)
19-字典的遍历方法.mp4 (18.1 MB)
20-容器的公共运算符【耗时整理‖免费分享 cunlove.cn】.mp4 (64.2 MB)
21-容器的公共函数.mp4 (51.8 MB)
22-今日总结.mp4 (15.5 MB)
day06
00-作业及复习【耗时整理‖免费分享 cunlove.cn】.mp4 (135.5 MB)
01-函数的介绍.mp4 (21.7 MB)
02-函数的简单使用【耗时整理‖免费分享 cunlove.cn】.mp4 (21.7 MB)
03-函数定义的注意事项【耗时整理‖免费分享 cunlove.cn】.mp4 (19.9 MB)
04-函数的说明文档.mp4 (24.5 MB)
05-函数的参数.mp4 (21.3 MB)
06-函数的返回值.mp4 (24.9 MB)
07-函数的作用域.mp4 (30.3 MB)
08-global关键字.mp4 (51.5 MB)
09-在函数体内部嵌套函数的调用.mp4 (19.9 MB)
10-函数执行流程说明.mp4 (25.0 MB)
11-函数的参数和返回值传递.mp4 (20.5 MB)
12-上午知识回顾.mp4 (42.9 MB)
13-函数返回值加强.mp4 (25.5 MB)
14-实参-位置参数【耗时整理‖免费分享 cunlove.cn】.mp4 (14.4 MB)
15-实参-关键字参数赋值.mp4 (28.3 MB)
16-实参加强练习讲解.mp4 (10.4 MB)
17-形参-位置参数.mp4 (7.4 MB)
18-形参-缺省参数.mp4 (19.9 MB)
19-形参-位置不定长参数.mp4 (32.8 MB)
20-形参-关键字不定长参数.mp4 (52.5 MB)
21-组包和拆包.mp4 (22.4 MB)
22-引用.mp4 (67.5 MB)
23-可变数据类型和不可变数据类型.mp4 (42.7 MB)
24-今日总结.mp4 (12.3 MB)
day07
00-复习和作业讲解.mp4 (172.7 MB)
01-今日课程内容.mp4 (17.5 MB)
02-lambda表达式.mp4 (59.8 MB)
03-lambda练习讲解.mp4 (34.8 MB)
04-递归(了解).mp4 (69.4 MB)
05-文件的介绍和文件读取体验【耗时整理‖免费分享 cunlove.cn】.mp4 (15.4 MB)
06-文件的读取操作.mp4 (72.3 MB)
07-文件读取练习.mp4 (14.8 MB)
08-上午知识回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (45.9 MB)
09-文件的写入操作【耗时整理‖免费分享 cunlove.cn】.mp4 (56.4 MB)
10-文件的追加操作.mp4 (41.7 MB)
11-文件备份案例.mp4 (27.4 MB)
12-文件备份案例–字节型文件备份.mp4 (49.0 MB)
13-文件读写模式.mp4 (16.6 MB)
14-文件读写模式的加强模式练习【耗时整理‖免费分享 cunlove.cn】.mp4 (58.6 MB)
15-字符集的了解.mp4 (52.5 MB)
16-相对路径和绝对路径.mp4 (32.3 MB)
17-os模块的使用.mp4 (50.9 MB)
18-今日总结.mp4 (13.1 MB)
day08
00-复习和作业讲解.mp4 (145.6 MB)
01-异常的介绍.mp4 (32.2 MB)
02-异常捕获体验.mp4 (25.1 MB)
03-捕获指定类型异常.mp4 (52.4 MB)
04-获取异常描述信息.mp4 (31.6 MB)
05-异常中的else.mp4 (13.6 MB)
06-异常中的finally.mp4 (36.8 MB)
📄 07-异常练习【耗时整理‖免费分享 cunlove.cn】.mp4 (23.4 MB)
📄 08-异常传递(异常穿透).mp4 (14.7 MB)
📄 09-模块的导入方式.mp4 (43.7 MB)
📄 10-给模块和功能起别名.mp4 (33.6 MB)
📄 12-自定义模块.mp4 (28.2 MB)
📄 13-__all__的使用方法.mp4 (36.1 MB)
📄 14-包的使用.mp4 (42.6 MB)
📄 15-模块中演示代码的书写位置.mp4 (27.5 MB)
📄 16-学生管理系统需求分析.mp4 (11.9 MB)
📄 17-学生管理系统框架搭建.mp4 (24.8 MB)
📄 18-学生管理系统函数抽取.mp4 (59.4 MB)
📄 19-学生管理系统–添加学员【耗时整理‖免费分享 cunlove.cn】.mp4 (63.6 MB)
📄 20-学生管理系统–删除学员.mp4 (46.5 MB)
📄 21-学生管理系统–修改学员【耗时整理‖免费分享 cunlove.cn】.mp4 (28.7 MB)
📄 22-学生管理系统–查询学员.mp4 (40.2 MB)
📄 23-学生管理系统–展示学员和退出程序.mp4 (35.3 MB)
📄 24-今日总结.mp4 (39.8 MB)
📁 阶段2-Python编程进阶
📁 day01-面向对象基础
📄 01-【了解】课程总体说明_.mp4 (12.1 MB)
📄 02-【了解】课程要求_.mp4 (30.2 MB)
📄 03-【了解】面向过程概念_.mp4 (18.8 MB)
📄 04-【重要】面向对象概念_.mp4 (37.1 MB)
📄 05-【了解】面向对象和过程小结_.mp4 (9.8 MB)
📄 06-【重要】面向对象三大特性_.mp4 (32.0 MB)
📄 07-【了解】第1部分小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (1.1 MB)
📄 08-【了解】识别类和对象-程序员角度_.mp4 (17.7 MB)
📄 09-【重要】类和对象-self关键字_.mp4 (57.9 MB)
📄 10-【重要】self功能演示-为什么需要self_.mp4 (35.1 MB)
📄 11-【重要】self关键字作用-类内部调用方法_.mp4 (22.5 MB)
📄 12-【重要】第2部分小结_.mp4 (14.1 MB)
📄 13-【重要】在类的外部设置获取属性_.mp4 (26.0 MB)
📄 14-【重要】在类的内部通过self关键字获取属性_.mp4 (13.9 MB)
📄 15-【了解】第3部分小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.1 MB)
📄 16-【重要】无参init方法-思路分析_.mp4 (28.9 MB)
📄 17-【重要】无参init方法-代码实现_.mp4 (13.1 MB)
📄 18-【重要】有参init方法-代码实现_.mp4 (9.7 MB)
📄 19-【重要】中午课程小结_.mp4 (15.7 MB)
📄 20-【了解】init函数返回值-课堂答疑_.mp4 (32.9 MB)
📄 21-【了解】中午课程回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.2 MB)
📄 22-【了解】1魔法方法str-思路分析_.mp4 (18.9 MB)
📄 22-【了解】2魔法方法str-代码实现_.mp4 (18.7 MB)
📄 23-【了解】课堂答疑如何找bug_.mp4 (11.0 MB)
📄 24-【了解】1魔法方法del-思路分析_.mp4 (27.9 MB)
📄 25-【了解】2魔法方法del-代码实现_.mp4 (20.2 MB)
📄 25-【了解】魔法方法小结_.mp4 (7.1 MB)
📄 26-【了解】1减肥小案例-思路分析_.mp4 (18.6 MB)
📄 26-【了解】2减肥小案例-思路分析_.mp4 (12.2 MB)
📄 27-【重要】1需求分析-实现思路-代码分析_.mp4 (31.1 MB)
📄 27-【重要】2需求分析-实现思路-代码实现_.mp4 (23.1 MB)
📄 27-【重要】3需求分析-实现思路-代码实现_.mp4 (25.6 MB)
📄 28-今天内容梳理小结_.mp4 (36.3 MB)
📄 29-作业说明_.mp4 (33.6 MB)
📁 day02-面向对象高级
📄 01-【了解】上一课程复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (33.8 MB)
📄 02-【了解】代码复习_.mp4 (23.2 MB)
📄 03-【了解】每日反馈_.mp4 (41.4 MB)
📄 04-【了解】作业复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.7 MB)
📄 05-【了解】定义类的三种方法_.mp4 (16.8 MB)
📄 06-【了解】继承语法_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.2 MB)
📄 07-【重要】单继承_.mp4 (25.0 MB)
📄 08-【重要】多继承-继承顺序-思路分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.2 MB)
📄 09-【重要】多继承-继承顺序-mro代码实现_.mp4 (44.7 MB)
📄 10-【重要】课堂答疑如何刨祖坟_.mp4 (21.4 MB)
📄 11-【了解】继承小结_.mp4 (1.8 MB)
📄 12【了解】子类重写父类属性和方法_.mp4 (14.4 MB)
📄 13【了解】子类显示的调用父类属性和方法_.mp4 (29.7 MB)
📄 14-【了解】1课堂答疑-显示调用父类的被子类重新的方法-需要手工调用init_.mp4 (24.1 MB)
📄 14-【了解】2课堂答疑-显示调用父类的被子类重新的方法-需要手工调用init_.mp4 (25.4 MB)
📄 15-【了解】super常见问题_.mp4 (12.3 MB)
📄 16-【难点重要】super常见问题_.mp4 (8.7 MB)
📄 17-【了解】小结_.mp4 (12.8 MB)
📄 18-【重要】1手工调用父类init_.mp4 (12.7 MB)
📄 18-【重要】2手工调用父类init_.mp4 (2.5 MB)
📄 18-【重要】3小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.4 MB)
📄 19-【重要】私有属性和方法_【耗时整理‖免费分享 cunlove.cn】.mp4 (41.7 MB)
📄 20-【了解】中午课程回顾_.mp4 (62.5 MB)
📄 21-【重要】1多态概念-思路分析_.mp4 (18.8 MB)
📄 21-【重要】2多态概念-代码实现_.mp4 (25.4 MB)
📄 22-【重要】多态成立的三个条件_【耗时整理‖免费分享 cunlove.cn】.mp4 (20.1 MB)
📄 23-【重要】1案例搭建多态场景-思路分析_.mp4 (46.1 MB)
📄 23-【重要】2案例搭建多态场景-代码实现_.mp4 (29.0 MB)
📄 24-【重要】python中只要长得像就可以多态_【耗时整理‖免费分享 cunlove.cn】.mp4 (25.7 MB)
📄 25-【重要】多态的意义_.mp4 (57.5 MB)
📄 26-【重要】1接口抽象类-概念_.mp4 (20.3 MB)
📄 26-【重要】2接口抽象类-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.9 MB)
📄 26-【重要】3多态和抽象类小结_.mp4 (9.0 MB)
📄 27-【了解】类的属性_.mp4 (39.2 MB)
📄 28-【了解】类方法-类方法操作类属性_.mp4 (20.8 MB)
📄 29-【了解】静态方法_.mp4 (18.2 MB)
📄 30-【了解】作业和小结_.mp4 (34.8 MB)
📄 31-【了解】有关_name__课堂答疑_.mp4 (32.4 MB)
📁 day03-学生管理系统
📄 01_【了解】复习-封装继承_.mp4 (55.6 MB)
📄 02_【重要】复习-多态_类方法属性-静态方法_.mp4 (35.9 MB)
📄 03_【重要】作业练习_.mp4 (70.0 MB)
📄 04-【了解】学生管理系统-基本功能和需求测试_.mp4 (88.4 MB)
📄 05-【了解】学生管理系统-实现思路分析_.mp4 (13.3 MB)
📄 06-【重要】学生类-思路分析_.mp4 (14.4 MB)
📄 07-【重要】学生类-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.6 MB)
📄 08-【了解】学生管理类init_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.6 MB)
📄 09-【了解】学生管理类-显示界面_.mp4 (21.5 MB)
📄 10-【了解】学生管理类-搭建框架_【耗时整理‖免费分享 cunlove.cn】.mp4 (70.1 MB)
📄 11-【了解】添加和显示所有学员_.mp4 (43.3 MB)
📄 12-【了解】删除学员_.mp4 (24.8 MB)
📄 13-【了解】中午课程回顾_.mp4 (69.5 MB)
📄 14-【了解】查询某一个同学_.mp4 (20.4 MB)
📄 15-【重要】保存学员-思路分析_.mp4 (27.6 MB)
📄 16-【重要】保存学员-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (28.3 MB)
📄 16-【重要】课堂答疑列表推导式_.mp4 (5.0 MB)
📄 17-【重要】初始化-思路分析_.mp4 (55.6 MB)
📄 18-【重要】初始化-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (37.6 MB)
📄 19-【重要】回调-解耦合_.mp4 (43.1 MB)
📄 20-【重要】回调函数本质-函数入口地址做函数参数_.mp4 (28.1 MB)
📄 20-【重要】引用赋值_.mp4 (90.0 MB)
📄 21-【重要】python对变量的封装到位_【耗时整理‖免费分享 cunlove.cn】.mp4 (20.5 MB)
📄 22-【重要】浅拷贝拷贝可变类型-只拷贝第1层_.mp4 (33.2 MB)
📄 23-【重要】浅拷贝拷贝不可变类型-相当于引用赋值操作_.mp4 (3.4 MB)
📄 24-【重要】浅拷贝和深拷贝-慢动作_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.8 MB)
📄 25-1【重要】深拷贝-拷贝可变类型-所有层全copy_.mp4 (16.1 MB)
📄 25-2【重要】深拷贝-拷贝不可变类型-返回引用_.mp4 (18.7 MB)
📄 25-3【重要】深拷贝作用举例子_.mp4 (11.1 MB)
📁 day04-闭包装饰器
📄 01-【了解】学生管理系统-复习_.mp4 (67.5 MB)
📄 02-【了解】回调函数_【耗时整理‖免费分享 cunlove.cn】.mp4 (52.5 MB)
📄 03-【重要】混合类型-深前拷贝_.mp4 (78.9 MB)
📄 04-【了解】直接调用和间接调用_.mp4 (27.0 MB)
📄 05-【了解】如何缓存函数中的变量_.mp4 (15.2 MB)
📄 06-【重要】闭包的语法_.mp4 (60.6 MB)
📄 07-【重要】闭包执行顺序_.mp4 (16.2 MB)
📄 08-【重要】闭包基本语法实现_.mp4 (28.2 MB)
📄 09-【重要】1使用闭包解方式-需求_【耗时整理‖免费分享 cunlove.cn】.mp4 (4.5 MB)
📄 09-【重要】2使用闭包解方式-实现_.mp4 (24.9 MB)
📄 09-【重要】3闭包中函数嵌套调用-拓展_.mp4 (2.6 MB)
📄 10-【重要】装饰器语法-思路分析_.mp4 (28.0 MB)
📄 11-【重要】装饰器语法-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.8 MB)
📄 12-【重要】语法糖-基本语法_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.3 MB)
📄 13-【了解】无参无返回的原函数-装饰_.mp4 (19.9 MB)
📄 14-【了解】有参无返回值的原函数-装饰_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.8 MB)
📄 15-【了解】无参数有返回值的原函数-装饰_.mp4 (11.9 MB)
📄 16-【了解】有参数有返回值的原函数-装饰_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.8 MB)
📄 17-【了解】中午课程复习_.mp4 (5.8 MB)
📄 18-【了解】中午课程回顾_.mp4 (44.5 MB)
📄 19-【了解】不定长参数的原函数-装饰_【耗时整理‖免费分享 cunlove.cn】.mp4 (28.8 MB)
📄 20-【了解】多个装饰器修饰同一个原函数-1思路分析_.mp4 (52.0 MB)
📄 20-【了解】多个装饰器修饰同一个原函数-2代码实现_.mp4 (27.1 MB)
📄 21-【重要】课堂答疑-返回内部函数的入口地址_.mp4 (19.6 MB)
📄 22-【了解】带参数的装饰器-1错误语法_.mp4 (24.9 MB)
📄 23-【了解】带参数的装饰器-2正确语法_.mp4 (20.6 MB)
📄 23-【了解】带参数的装饰器-3本质复现_.mp4 (19.3 MB)
📄 24-【了解】网络概念_ip地址_【耗时整理‖免费分享 cunlove.cn】.mp4 (78.4 MB)
📄 25-【重要】端口号-标识是哪一个应用程序_.mp4 (15.4 MB)
📄 26-【了解】协议-概念_【耗时整理‖免费分享 cunlove.cn】.mp4 (19.5 MB)
📄 27-【了解】三次握手_.mp4 (33.1 MB)
📄 28-【了解】四次挥手_.mp4 (33.2 MB)
📄 29-【了解】小结_.mp4 (12.2 MB)
📄 30-【了解】网络协议-基本工作过程_.mp4 (39.4 MB)
📁 day05-网络编程下和多任务编程上
📄 01-【了解】复习装饰器_.mp4 (71.6 MB)
📄 02-【了解】作业题串讲_.mp4 (37.2 MB)
📄 03-【了解】tcpip协议复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.8 MB)
📄 04-【了解】tcpip协议复习_.mp4 (7.2 MB)
📄 05-【了解】创建socket对象_【耗时整理‖免费分享 cunlove.cn】.mp4 (59.9 MB)
📄 06-【重要】客户端和服务器端-基本原理_.mp4 (70.3 MB)
📄 07-【重要】客户端和服务器端-代码分析_.mp4 (35.0 MB)
📄 08-【重要】服务器程序-编码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (37.5 MB)
📄 09-【重要】客户端程序-编码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (28.3 MB)
📄 10-【重要】课堂问题12_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.9 MB)
📄 11-【重要】课堂问题-端口复用属性设置_.mp4 (13.8 MB)
📄 12-【拓展】长连接和端连接_.mp4 (44.7 MB)
📄 13-【重要】一个服务器支持多个客户端_.mp4 (20.2 MB)
📄 14-【重要】socketapi的深入分析_.mp4 (44.5 MB)
📄 15-【重要】api函数机理小结_.mp4 (48.3 MB)
📄 16-【重要】数据类型转换_.mp4 (18.0 MB)
📄 17-【了解】ppt讲义小结_.mp4 (35.0 MB)
📄 18-【了解】中午课程回顾_.mp4 (27.6 MB)
📄 19-【了解】多任务概念_.mp4 (17.7 MB)
📄 20-【了解】进程概念_.mp4 (41.7 MB)
📄 21-【了解】单进程边代码边音乐_【耗时整理‖免费分享 cunlove.cn】.mp4 (22.9 MB)
📄 22-【重要】多进程边代码边音乐_.mp4 (44.3 MB)
📄 23-【重要】课堂答疑-函数入口地址不要写成函数调用_.mp4 (4.5 MB)
📄 24-【重要】多进程带参数边代码边执行_.mp4 (21.2 MB)
📄 25-【了解】进程编号_.mp4 (36.4 MB)
📄 26-【重要】1进程间不共享数据-思路分析_.mp4 (15.6 MB)
📄 26-【重要】2进程间不共享数据-实验证明_.mp4 (66.9 MB)
📄 27-【重要】主进程的资源是指所有mian条件以外的代码_【耗时整理‖免费分享 cunlove.cn】.mp4 (4.4 MB)
📄 28-【重要】创建子进程的代码必须写在main条件下_.mp4 (19.1 MB)
📄 29-2【重要】2主进程创建守候进程_.mp4 (18.3 MB)
📄 29-3【了解】主进程对子进程管理小结_.mp4 (17.6 MB)
📄 29-【重要】1主进程等待子进程接受以后再结束_.mp4 (19.5 MB)
📁 day06-多任务编程下
📄 01-【了解】客户端和服务器通讯流程复习_.mp4 (95.5 MB)
📄 02-【了解】多进程-复习_.mp4 (37.9 MB)
📄 03-【了解】1线程概念_.mp4 (10.5 MB)
📄 03-【了解】2线程的概念_.mp4 (6.0 MB)
📄 04-【重要】多线程边代码边音乐_.mp4 (16.8 MB)
📄 05-【重要】多线程带参数边代码边音乐_.mp4 (17.6 MB)
📄 06-【重要】子线程被cup随机调度_【耗时整理‖免费分享 cunlove.cn】.mp4 (45.1 MB)
📄 07-【重要】主线程等待子线程结束以后再结束_.mp4 (15.0 MB)
📄 08-【重要】创建守候线程_.mp4 (10.8 MB)
📄 09-【重要】课堂答疑-设置守候线程函数-两个线程测量不一致_.mp4 (5.8 MB)
📄 10-【重要】线程之间共享内存变量_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.2 MB)
📄 11-【拓展】操作系统如何加持代码-建立执行环境_【耗时整理‖免费分享 cunlove.cn】.mp4 (92.7 MB)
📄 12-【重要】线程全局变量不安全-思路分析_.mp4 (40.3 MB)
📄 13-【重要】线程全局变量不安全-实验证明_.mp4 (14.9 MB)
📄 14-【了解】线程注意问题-小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.6 MB)
📄 15-【重要】1线程锁-思路分析_.mp4 (19.5 MB)
📄 15-【重要】2线程锁-代码实现_.mp4 (13.4 MB)
📄 16-【死锁】概念-现象演示_.mp4 (16.1 MB)
📄 17-【了解】中午课程回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (59.4 MB)
📄 18-【了解】有关进程资源搭建-进程切换复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (47.9 MB)
📄 19-【了解】进程和线程的对比_【耗时整理‖免费分享 cunlove.cn】.mp4 (12.1 MB)
📄 20-【了解】with语句_.mp4 (46.7 MB)
📄 21-【重要】自定义上下文管理器-思路分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (40.3 MB)
📄 22-【重要】自定义上下文管理器-代码实现_.mp4 (21.6 MB)
📄 23-【了解】1注意enter返回self_.mp4 (59.4 MB)
📄 23-【了解】2小结with语句和上下文管理器_.mp4 (7.1 MB)
📄 24-【重要】生成器概念-通过生成器推导式方式_.mp4 (45.5 MB)
📄 25-【重要】通过生成器推导式方式创建生成器_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.8 MB)
📄 26-【重要】1yield关键字产生生成器-思路分析_.mp4 (37.4 MB)
📄 26-【重要】2yield关键字产生生成器-思路分析_.mp4 (11.8 MB)
📄 27-【重要】1生成器应用场景-数据迭代器-思路分析_.mp4 (98.8 MB)
📄 27-【重要】2生成器应用场景-数据迭代器-代码实现_.mp4 (28.9 MB)
📄 28-【了解】小结和作业说明_.mp4 (8.3 MB)
📁 day07-正则表达式和时间复杂度
📄 01-【了解】多线程复习_.mp4 (78.4 MB)
📄 02-【了解】上下文管理器和生成器复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (73.5 MB)
📄 03-【重要】正则表达是概念-match思路分析_.mp4 (34.6 MB)
📄 03-【重要】正则表达是概念-思路分析_.mp4 (18.8 MB)
📄 04-【重要】正则search的用法_.mp4 (24.6 MB)
📄 05-【重要】正则r-sub用法_.mp4 (19.3 MB)
📄 06-【重要】匹配单个字符1_【耗时整理‖免费分享 cunlove.cn】.mp4 (17.4 MB)
📄 07-【重要】匹配单个字符2_【耗时整理‖免费分享 cunlove.cn】.mp4 (20.5 MB)
📄 08-【了解】匹配单个字符小结_.mp4 (12.0 MB)
📄 09-【重要】匹配多个字符_.mp4 (26.9 MB)
📄 10-【了解】匹配多个字符小结_.mp4 (18.3 MB)
📄 11-【了解】1课堂答疑死锁探讨_.mp4 (28.7 MB)
📄 11-【了解】2课堂答疑-锁的范围_.mp4 (6.2 MB)
📄 12-【重要】匹配开头和结束-1_.mp4 (24.5 MB)
📄 13-【重要】匹配开头和结束-2_.mp4 (38.2 MB)
📄 14-【了解】1分组相关_.mp4 (48.9 MB)
📄 14-【了解】2分组相关_【耗时整理‖免费分享 cunlove.cn】.mp4 (22.6 MB)
📄 15-【了解】3分组引用起个别名_.mp4 (38.8 MB)
📄 16-【了解】正则表达式综合复习_.mp4 (83.9 MB)
📄 17-【重要】正则小练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.3 MB)
📄 18-【了解】数据结构概念_.mp4 (51.9 MB)
📄 19-【了解】算法概念和小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (4.5 MB)
📄 20-【了解】算法的特性_.mp4 (24.2 MB)
📄 21-【了解】算法时间效率-2个因素_.mp4 (26.7 MB)
📄 22-【了解】1算法的复杂度-大O计数法_.mp4 (11.4 MB)
📄 22-【了解】2算法的复杂度-比较2个算法好坏_.mp4 (5.3 MB)
📄 23-【重要】时间复杂度的计算规则_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.9 MB)
📄 24-【了解】最优-坏时间复杂度_.mp4 (13.7 MB)
📄 25-【重要】常见时间复杂度_.mp4 (32.3 MB)
📄 26-【了解】空间复杂度_.mp4 (32.9 MB)
📄 27-【了解】复习时间结构+算法=程序_.mp4 (17.7 MB)
📄 28-【了解】1数据存储-线性结构和非线性结构_.mp4 (13.6 MB)
📄 28-【了解】2线性结构存储_.mp4 (30.1 MB)
📄 28-【了解】3一体式结构和分离式结构扩展策略_.mp4 (22.9 MB)
📄 28-【了解】4顺序表数据删除和添加小结_.mp4 (13.1 MB)
📄 29-【了解】下午课程小结_.mp4 (10.3 MB)
📁 day08-数据结构和算法
📄 01-【了解】复习正则表达式_.mp4 (51.8 MB)
📄 02-【了解】复数据结构概念篇_.mp4 (48.9 MB)
📄 03-【了解】顺序存储和链表的对比_.mp4 (29.2 MB)
📄 04-【重要】1结点类和链表类框架搭建_.mp4 (52.8 MB)
📄 04-【重要】2结点类和链表类框架搭建-小结_.mp4 (16.5 MB)
📄 05_【重要】链表是否为空_.mp4 (15.7 MB)
📄 06_【重要】求链表长度_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.8 MB)
📄 07_【重要】1链表遍历_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.2 MB)
📄 07_【重要】2链表遍历-课堂答疑_【耗时整理‖免费分享 cunlove.cn】.mp4 (12.8 MB)
📄 08-【重要】头部插入结点_.mp4 (32.1 MB)
📄 08-【重要】尾部插入结点_.mp4 (26.5 MB)
📄 09-【重要】指定位置添加结点-思路分析_.mp4 (30.4 MB)
📄 10-【重要】指定位置添加结点-代码实现_.mp4 (29.5 MB)
📄 11-【重要】课堂答疑-头指针和头结点-代码和图转换_.mp4 (41.5 MB)
📄 12-【重要】删除结点-思路分析和代码调试_.mp4 (57.0 MB)
📄 13-【重要】代码调试串讲-图和代码_.mp4 (90.7 MB)
📄 14-【重要】根据数据查找节点是否存在_.mp4 (12.5 MB)
📄 15-【了解】链表和顺序表对比_.mp4 (19.2 MB)
📄 16-【了解】算法稳定性_.mp4 (24.6 MB)
📄 17-【重要】1冒泡思想_.mp4 (28.0 MB)
📄 17-【重要】2冒泡排序-代码分析_.mp4 (45.4 MB)
📄 17-【重要】3冒泡排序-代码分析_.mp4 (11.9 MB)
📄 17-【重要】3冒泡排序-提前结束优化_.mp4 (9.5 MB)
📄 17-【重要】4冒泡排序-稳定性O_n平方_.mp4 (16.3 MB)
📄 18-【重要】1选择排序-思想_.mp4 (21.7 MB)
📄 18-【重要】2选择排序-代码分析_.mp4 (29.1 MB)
📄 18-【重要】3选择排序-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (12.1 MB)
📄 18-【重要】4选择排序-课堂答疑_.mp4 (11.0 MB)
📄 18-【重要】5选择排序-时间复杂度_.mp4 (15.3 MB)
📄 19-【重要】1插入法-思想_.mp4 (19.1 MB)
📄 19-【重要】2插入法-代码分析_.mp4 (27.0 MB)
📄 20-【重要】3插入法-代码实现_.mp4 (18.8 MB)
📄 21-【重要】4插入法-文档性_.mp4 (7.9 MB)
📄 22-【重要】1快速排序-思路分析_.mp4 (25.6 MB)
📄 22-【重要】2快速排序-实现思路分析_.mp4 (27.7 MB)
📄 23-【重要】3快速排序-实现思路分析2_.mp4 (43.7 MB)
📄 23-【重要】4快速排序-递归调用分析_.mp4 (27.9 MB)
📄 23-【重要】5快速排序-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (41.9 MB)
📁 day09-数据结构和算法
📄 01-【了解】复习链表.wmv (65.9 MB)
📄 02-【了解】复习冒泡和选择.wmv (36.4 MB)
📄 03-【了解】复习插入【耗时整理‖免费分享 cunlove.cn】.wmv (23.7 MB)
📄 04-【了解】复习快速排序.wmv (72.1 MB)
📄 05-【重要】快速排序算稳定性.wmv (35.2 MB)
📄 06-【重要】01二分查找-概念和思路分析.wmv (70.8 MB)
📄 06-【重要】02二分查找-代码实现.wmv (23.5 MB)
📄 06-【重要】03二分查找-非递归思路分析.wmv (41.9 MB)
📄 06-【重要】04二分查找-非递归代码实现.wmv (14.7 MB)
📄 07-【了解】树的概念.wmv (39.8 MB)
📄 08-【了解】满二叉树-平衡二叉树-二次排序树【耗时整理‖免费分享 cunlove.cn】.wmv (65.1 MB)
📄 09-【了解】树的顺序存储和链式存储优劣对比.wmv (32.5 MB)
📄 10-【了解】树的应用场景-二叉树的性质.wmv (52.2 MB)
📄 11-【重要】定义树类和节点类.wmv (26.9 MB)
📄 12-【了解】1复习二分查找.wmv (64.4 MB)
📄 12-【了解】2树的概念【耗时整理‖免费分享 cunlove.cn】.wmv (69.7 MB)
📄 13-【了解】广度优先深度优先.wmv (12.7 MB)
📄 14-【重要】广度优先插节点1.wmv (25.8 MB)
📄 14-【重要】广度优先插节点2.wmv (29.0 MB)
📄 15-【了解】模拟队列操作.wmv (17.1 MB)
📄 16-【重要】1二叉树广度优先-思路分析【耗时整理‖免费分享 cunlove.cn】.wmv (22.0 MB)
📄 17-【重要】二叉树广度优先遍历.wmv (29.5 MB)
📄 18-【重要】先序列中序后序-遍历.wmv (33.6 MB)
📄 19-【重要】1先序列中序后序-代码思路.wmv (19.2 MB)
📄 20-【重要】2先序列中序后序-代码实现.wmv (21.9 MB)
📄 21-【重要】递归调用-课堂答疑.wmv (27.3 MB)
📄 22-【重要】小结.wmv (61.9 MB)
📁 阶段3-数据处理与统计分析
📁 day01
📄 01_操作系统简介【耗时整理‖免费分享 cunlove.cn】.mp4 (6.1 MB)
📄 02_Linux系统简介.mp4 (11.5 MB)
📄 03_虚拟机介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (14.7 MB)
📄 04_finalshell介绍&vmware网络配置.mp4 (19.9 MB)
📄 05_快照介绍.mp4 (10.3 MB)
📄 06_linux目录结构和命令介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (14.7 MB)
📄 07_切换工作目录_cd和pwd【耗时整理‖免费分享 cunlove.cn】.mp4 (24.8 MB)
📄 08_绝对路径和相对路径.mp4 (13.6 MB)
📄 09_mkdir创建文件夹.mp4 (8.7 MB)
📄 10_文件文件夹的创建查看移动复制和删除.mp4 (36.2 MB)
📄 11_which和find查找.mp4 (16.4 MB)
📄 12_内容过滤grep和管道符.mp4 (23.2 MB)
📄 13_文件内容修改_echo重定向符tail命令.mp4 (23.8 MB)
📄 14_vi和vim编辑器介绍.mp4 (21.5 MB)
📄 15_linux命令的帮助和命令手册.mp4 (12.8 MB)
📄 16_linux普通用户和超级管理员介绍.mp4 (25.1 MB)
📄 17_linux权限介绍.mp4 (31.9 MB)
📄 18_linux权限介绍chmod和chown.mp4 (33.0 MB)
📄 19_内容回顾.mp4 (13.2 MB)
📁 day02
📄 01_内容回顾.mp4 (20.9 MB)
📄 02_linux常用快捷键【耗时整理‖免费分享 cunlove.cn】.mp4 (15.4 MB)
📄 03_软件安装开启关闭系统服务和软连接【耗时整理‖免费分享 cunlove.cn】.mp4 (29.0 MB)
📄 04_ip地址和域名解析.mp4 (21.1 MB)
📄 05_网络操作文件下载.mp4 (52.4 MB)
📄 06_端口占用查看和进程查询.mp4 (45.5 MB)
📄 07_环境变量配置.mp4 (40.1 MB)
📄 08_压缩解压缩.mp4 (35.3 MB)
📄 09_数据库简介.mp4 (8.6 MB)
📄 10_SQL语言简介.mp4 (25.5 MB)
📄 11_SQL数据类型介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (8.8 MB)
📄 12_SQL中的DDL_数据库操作.mp4 (10.1 MB)
📄 13_SQL中的DDL_数据表的操作【耗时整理‖免费分享 cunlove.cn】.mp4 (22.0 MB)
📄 14_SQL中的DML操作.mp4 (22.7 MB)
📄 15_今日小结(2).mp4 (18.5 MB)
📁 day03
📄 01_内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (13.6 MB)
📄 02_SQL_约束介绍.mp4 (24.9 MB)
📄 03_SQL_DQL条件查询范围查询.mp4 (14.4 MB)
📄 04_SQL_DQL单表查询完成.mp4 (29.3 MB)
📄 05_SQL_DQL多表查询.mp4 (23.4 MB)
📄 06_SQL_DQL多表查询关联查询介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (19.6 MB)
📄 07_SQL_DQL多表查询关联查询案例说明.mp4 (18.5 MB)
📄 08_SQL_DQL多表查询练习.mp4 (26.0 MB)
📄 09_SQL_DQL多表查询练习_子查询和自连接.mp4 (29.7 MB)
📄 10_SQL_DQL子查询和自连接小结.mp4 (11.3 MB)
📄 11_SQL报表练习.mp4 (55.1 MB)
📄 12_SQL报表练习_分组聚合.mp4 (52.8 MB)
📄 13_SQL报表练习_CASEWHEN.mp4 (37.3 MB)
📄 14_今日重点.mp4 (24.2 MB)
📁 day04
📄 01_SQL内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (41.3 MB)
📄 02_窗口函数简介.mp4 (17.9 MB)
📄 03_窗口函数简单应用.mp4 (26.7 MB)
📄 04_窗口函数_排序函数【耗时整理‖免费分享 cunlove.cn】.mp4 (38.3 MB)
📄 05_LinuxSQL小结.mp4 (8.2 MB)
📄 06_Python数据处理分析简介.mp4 (11.7 MB)
📄 07_Jupyterlab环境搭建.mp4 (18.8 MB)
📄 08_Jupyternotebook的使用.mp4 (15.7 MB)
📄 09_numpy的ndarray的属性和创建【耗时整理‖免费分享 cunlove.cn】.mp4 (21.1 MB)
📄 10_numpy的ndarray的创建2【耗时整理‖免费分享 cunlove.cn】.mp4 (14.5 MB)
📄 11_numpy的ndarray的创建3.mp4 (15.8 MB)
📄 12_numpy的内置函数_基本运算.mp4 (19.1 MB)
📄 13_numpy的内置函数完成.mp4 (18.4 MB)
📄 14_两个ndarray之间的运算.mp4 (16.0 MB)
📄 15_pandas数据结构_Series和DataFrame创建.mp4 (17.1 MB)
📄 16_Series常用方法【耗时整理‖免费分享 cunlove.cn】.mp4 (34.5 MB)
📄 17_今日小结.mp4 (12.7 MB)
📁 day05
📄 01_内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (23.4 MB)
📄 02_虚拟环境问题说明.mp4 (13.5 MB)
📄 03_Series的布尔索引.mp4 (22.9 MB)
📄 04_布尔索引小结.mp4 (10.6 MB)
📄 05_Series的运算.mp4 (13.3 MB)
📄 06_DataFrame的常用操作.mp4 (31.1 MB)
📄 07_DataFrame索引的调整.mp4 (13.9 MB)
📄 08_DataFrame行列索引的修改.mp4 (18.7 MB)
📄 09_DataFrame行列索引的修改小结.mp4 (17.1 MB)
📄 10_DataFrame插入删除追加一列数据【耗时整理‖免费分享 cunlove.cn】.mp4 (27.1 MB)
📄 11_DataFrame数据的保存跟加载.mp4 (18.1 MB)
📄 12_DataFrame加载部分数据【耗时整理‖免费分享 cunlove.cn】.mp4 (40.1 MB)
📄 13_DataFrame分组聚合计算【耗时整理‖免费分享 cunlove.cn】.mp4 (42.3 MB)
📄 14_DataFrame分组聚合小结【耗时整理‖免费分享 cunlove.cn】.mp4 (5.7 MB)
📄 15_DataFrame简单可视化说明【耗时整理‖免费分享 cunlove.cn】.mp4 (11.2 MB)
📄 16_Pandas数据分析练习_加载数据之后查看数据情况&常用排序方法【耗时整理‖免费分享 cunlove.cn】.mp4 (30.9 MB)
📄 17_查看数据情况&排序方法小结.mp4 (15.0 MB)
📄 18_今日内容小结【耗时整理‖免费分享 cunlove.cn】.mp4 (17.1 MB)
📁 day06
📄 01_内容回顾.mp4 (18.0 MB)
📄 02_租房数据练习.mp4 (46.9 MB)
📄 03_租房数据练习小结.mp4 (21.4 MB)
📄 04_DataFrame数据组合_concat连接【耗时整理‖免费分享 cunlove.cn】.mp4 (20.9 MB)
📄 05_DataFrame数据组合_merge连接.mp4 (28.3 MB)
📄 06_DataFrame数据组合_merge连接小结.mp4 (28.1 MB)
📄 07_DataFrame数据组合_join连接.mp4 (26.6 MB)
📄 08_缺失值处理_缺失值简介和判断.mp4 (16.2 MB)
📄 09_缺失值处理_加载包含确实的数据和缺失值统计.mp4 (25.9 MB)
📄 10_缺失值处理_缺失值处理和非时序数据缺失值填充.mp4 (24.8 MB)
📄 11_缺失值处理_时序数据填充&小结.mp4 (30.1 MB)
📄 12_series的apply方法【耗时整理‖免费分享 cunlove.cn】.mp4 (14.1 MB)
📄 13_dataframe的apply方法.mp4 (30.5 MB)
📄 14_apply的应用练习.mp4 (8.4 MB)
📄 15_内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (19.7 MB)
📁 day07
📄 01_内容回顾.mp4 (44.9 MB)
📄 02_向量化函数和Lambda表达式.mp4 (26.0 MB)
📄 03_分组聚合.mp4 (17.2 MB)
📄 04_分组转换.mp4 (32.9 MB)
📄 05_分组转换小结.mp4 (9.6 MB)
📄 06_分组转换练习.mp4 (21.4 MB)
📄 07_分组过滤.mp4 (13.6 MB)
📄 08_DataFrameGroupby对象.mp4 (23.8 MB)
📄 09_会员分析&数据透视表_会员增量和存量分析【耗时整理‖免费分享 cunlove.cn】.mp4 (36.3 MB)
📄 10_会员分析&数据透视表_会员增量等级分析.mp4 (30.9 MB)
📄 11_存量等级分布分析.mp4 (22.3 MB)
📄 12_线上线下会员增量分析.mp4 (10.5 MB)
📄 13_地区店均会员分析.mp4 (35.6 MB)
📄 14_地区会销比计算【耗时整理‖免费分享 cunlove.cn】.mp4 (43.0 MB)
📄 15_内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (20.9 MB)
📁 day08
📄 01_内容回顾.mp4 (18.7 MB)
📄 02_会员消费连带率计算.mp4 (22.7 MB)
📄 03_会员消费复购率计算_1.mp4 (22.5 MB)
📄 04_会员消费复购率计算完成.mp4 (27.7 MB)
📄 05_Pandas的日期时间类型简介.mp4 (14.5 MB)
📄 06_日期时间类型_获取日期中的不同部分.mp4 (17.4 MB)
📄 07_日期时间类型_timedelta类型.mp4 (14.7 MB)
📄 08_日期时间索引【耗时整理‖免费分享 cunlove.cn】.mp4 (20.6 MB)
📄 09_生成日期时间序列【耗时整理‖免费分享 cunlove.cn】.mp4 (24.6 MB)
📄 10_日期时间数据类型小结.mp4 (17.6 MB)
📄 11_日期时间类型练习说明【耗时整理‖免费分享 cunlove.cn】.mp4 (10.9 MB)
📄 12_日期时间类型练习【耗时整理‖免费分享 cunlove.cn】.mp4 (38.3 MB)
📄 13_数据可视化简介.mp4 (19.3 MB)
📄 14_Matplotlib的API介绍【耗时整理‖免费分享 cunlove.cn】.mp4 (17.9 MB)
📄 15_Matplotlib案例_anscome数据集可视化.mp4 (17.5 MB)
📄 16_Matplotlib单变量可视化_直方图.mp4 (18.9 MB)
📄 17_Matplotlib的双变量和多变量可视化.mp4 (17.6 MB)
📄 18_pandas的绘图_单变量可视化_柱状图和折线图面积图【耗时整理‖免费分享 cunlove.cn】.mp4 (36.7 MB)
📄 19_pandas绘图_单变量可视化_直方图和饼图.mp4 (15.7 MB)
📄 20_今日内内容小结【耗时整理‖免费分享 cunlove.cn】.mp4 (15.5 MB)
📁 day09
📄 01_内容回顾.mp4 (25.7 MB)
📄 02_pandas双变量可视化_散点图蜂巢图和堆叠柱状图.mp4 (29.0 MB)
📄 03_pandas双变量可视化小结.mp4 (16.6 MB)
📄 04_Seaborn绘图KDE和直方图【耗时整理‖免费分享 cunlove.cn】.mp4 (28.8 MB)
📄 05_Seaborn绘图计数柱状图.mp4 (11.1 MB)
📄 06_Seaborn绘图_双变量可视化.mp4 (33.8 MB)
📄 07_Seaborn绘图, 双变量可视化.mp4 (27.7 MB)
📄 08_Seaborn绘图_成对关系图和多变量可视化.mp4 (25.9 MB)
📄 09_RFM模型业务介绍.mp4 (17.4 MB)
📄 10_RFM适合落地场景.mp4 (7.2 MB)
📄 11_RFM案例数据介绍.mp4 (8.5 MB)
📄 12_RFM案例_数据加载和数据清洗.mp4 (27.4 MB)
📄 13-RFM案例_把数据拼接到一起.mp4 (20.5 MB)
📄 14_RFM案例_三个维度聚合值的计算【耗时整理‖免费分享 cunlove.cn】.mp4 (12.0 MB)
📄 15_RFM案例计算完成.mp4 (28.9 MB)
📄 16_RFM计算流程梳理&问题说明.mp4 (28.0 MB)
📄 18_RFM计算完成_结果可视化.mp4 (28.3 MB)
📁 day10
📄 01_内容回顾可视化.mp4 (19.4 MB)
📄 02_内容回顾_RFM.mp4 (16.7 MB)
📄 03_app_store业务介绍&数据加载和清洗.mp4 (27.8 MB)
📄 04_单变量分析.mp4 (31.8 MB)
📄 05_业务数据客户化和业务解读说明.mp4 (19.3 MB)
📄 06_业务数据可视化.mp4 (24.0 MB)
📄 07_业务问题解答.mp4 (20.5 MB)
📄 08_优衣库销售数据分析_整体思路和类别销售情况分析.mp4 (20.0 MB)
📄 09_消费偏好_线上线下周间周末.mp4 (31.6 MB)
📄 10_优衣库销售数据分析_售价和成本之间关系【耗时整理‖免费分享 cunlove.cn】.mp4 (8.4 MB)
📄 11_内容回顾_Pandas.mp4 (24.8 MB)
📄 12_内容回顾_SQL.mp4 (25.9 MB)
📄 13_内容回顾 SQL2.mp4 (17.5 MB)
📄 14_Linux内容回顾【耗时整理‖免费分享 cunlove.cn】.mp4 (21.4 MB)
📁 阶段4-机器学习与多场景项目实战
📁 01-机器学习概述
📄 01-【说明】课前说明_.mp4 (20.7 MB)
📄 02-【简介】内容简介_.mp4 (2.9 MB)
📄 03-【知道】AI ML DL介绍_.mp4 (28.3 MB)
📄 04-【了解】人工智能应用领域_.mp4 (19.7 MB)
📄 05-【掌握】数据集描述_.mp4 (20.5 MB)
📄 06-【总结】内容总结_【耗时整理‖免费分享 cunlove.cn】.mp4 (12.9 MB)
📄 07-【掌握】算法分类_.mp4 (24.2 MB)
📄 08-【重点】分类与回归_.mp4 (6.3 MB)
📄 09-【重点】算法分类_【耗时整理‖免费分享 cunlove.cn】.mp4 (29.3 MB)
📄 10-【重点】建模流程_.mp4 (34.8 MB)
📄 11-【重点】特征工程_.mp4 (33.3 MB)
📄 12-【重点】模型拟合_【耗时整理‖免费分享 cunlove.cn】.mp4 (36.9 MB)
📄 13-【实践】环境安装_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.4 MB)
📄 14-总结_【耗时整理‖免费分享 cunlove.cn】.mp4 (29.3 MB)
📁 02-KNN算法
📄 01-内容回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (29.5 MB)
📄 02-【重点】KNN算法思想_.mp4 (57.2 MB)
📄 03-【掌握】KNN算法的API_.mp4 (33.9 MB)
📄 04-【重点】距离度量方式_【耗时整理‖免费分享 cunlove.cn】.mp4 (39.2 MB)
📄 05-【重点】特征预处理_.mp4 (49.5 MB)
📄 06-【实践】鸢尾花案例_.mp4 (28.6 MB)
📄 07-【实践】特征工程_.mp4 (21.0 MB)
📄 08-【实践】模型训练与评估_.mp4 (51.1 MB)
📄 09-【总结】内容总结_.mp4 (5.6 MB)
📄 10-【重点】网格搜索交叉验证_.mp4 (65.2 MB)
📄 11-【实践】手写数字识别_.mp4 (31.5 MB)
📄 12-【实践】手写数字识别_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.9 MB)
📄 13-【总结】内容总结_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.5 MB)
📁 03-线性回归
📄 01-【回顾】内容回顾_.mp4 (27.2 MB)
📄 02-【理解】线性回归介绍_.mp4 (52.8 MB)
📄 03-【实践】线性回归API的使用_.mp4 (24.8 MB)
📄 04-【思想】线性回归的思想_.mp4 (67.8 MB)
📄 05-【复习】导数_.mp4 (29.4 MB)
📄 06-【复习】矩阵_.mp4 (68.6 MB)
📄 07-【理解】正规方法法_.mp4 (32.7 MB)
📄 08-【理解】正规方程的求解过程_.mp4 (36.0 MB)
📄 09-【说明】正规方程损失说明_.mp4 (10.8 MB)
📄 10-【掌握】梯度下降简介_.mp4 (40.7 MB)
📄 11-【掌握】梯度下降推导_.mp4 (28.2 MB)
📄 12-【理解】梯度下降算法案例+分类_.mp4 (59.4 MB)
📄 13-【总结】内容总结_.mp4 (20.6 MB)
📄 14-【理解】模型评估方法_.mp4 (36.8 MB)
📄 15-【实践】波士顿房价案例_.mp4 (68.6 MB)
📄 16-【掌握】拟合问题_【耗时整理‖免费分享 cunlove.cn】.mp4 (81.6 MB)
📄 17-【重点】模型拟合_.mp4 (72.9 MB)
📁 04-逻辑回归
📄 01-【知道】逻辑回归的应用场景_.mp4 (49.4 MB)
📄 02-【知道】数学知识_.mp4 (32.2 MB)
📄 03-【理解】逻辑回归思想_.mp4 (18.7 MB)
📄 04-【理解】损失函数介绍_.mp4 (34.7 MB)
📄 05-【实践】癌症分类案例_.mp4 (44.2 MB)
📄 06-【总结】_.mp4 (19.5 MB)
📄 07.线性回归回顾_.mp4 (34.4 MB)
📄 08-【重点】分类评估指标_【耗时整理‖免费分享 cunlove.cn】.mp4 (49.2 MB)
📄 09-【掌握】精确率，召回率和法score_.mp4 (42.2 MB)
📄 10-【了解】ROC和AUC_【耗时整理‖免费分享 cunlove.cn】.mp4 (63.3 MB)
📄 11.电信客户流失案例_.mp4 (88.0 MB)
📁 05-决策树
📄 01-【理解】决策树简介_.mp4 (24.4 MB)
📄 02-【理解】ID3树的推导_.mp4 (57.5 MB)
📄 03-【推导】ID3树案例_.mp4 (41.1 MB)
📄 04-【练习】练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.5 MB)
📄 05-【理解】C4.5树_.mp4 (37.0 MB)
📄 06-【总结】内容总结_.mp4 (31.6 MB)
📄 07-内容回顾_.mp4 (16.1 MB)
📄 08-【回顾】内容回顾_.mp4 (95.4 MB)
📄 09-【理解】决策树对比_【耗时整理‖免费分享 cunlove.cn】.mp4 (77.4 MB)
📄 10-【理解】回归树_.mp4 (48.7 MB)
📄 11-【理解】剪枝方法_.mp4 (18.1 MB)
📁 06-集成学习
📄 01-集成学习简介_.mp4 (58.9 MB)
📄 02-【重点】随机森林_.mp4 (23.9 MB)
📄 03-【实践】泰坦尼克号实践_.mp4 (30.9 MB)
📄 04-【重点】adaboost_.mp4 (42.6 MB)
📄 05-【理解】案例_.mp4 (41.8 MB)
📄 06-葡萄酒案例_.mp4 (25.9 MB)
📄 07-adaboost案例_.mp4 (11.7 MB)
📄 07-【回顾】内容回顾_.mp4 (20.1 MB)
📄 08-【重点】GBDT_.mp4 (78.2 MB)
📄 09-【实践】GBDT案例_.mp4 (13.5 MB)
📄 10-【重点】XGBoost_.mp4 (106.3 MB)
📄 11.Xgboost的思想_.mp4 (11.2 MB)
📄 12.xgboost案例_.mp4 (87.5 MB)
📄 13-【案例】xgboost_.mp4 (4.6 MB)
📄 14-【总结】集成学习_.mp4 (1.8 MB)
📁 07-朴素贝叶斯和特征降维
📄 01-【理解】贝叶斯原理_.mp4 (53.6 MB)
📄 02-【实践】情感分析案例_.mp4 (101.7 MB)
📄 03-集成学习思想_.mp4 (16.5 MB)
📄 04-特征降维+低方差过滤法_.mp4 (23.8 MB)
📄 05-PCA方法_.mp4 (21.1 MB)
📄 06-相关系数法_.mp4 (52.3 MB)
📁 08-聚类kmeans算法
📄 01-聚类算法_.mp4 (59.7 MB)
📄 02.Kmeans的流程 _.mp4 (17.9 MB)
📄 03-Kmeans的流程案例_【耗时整理‖免费分享 cunlove.cn】.mp4 (33.6 MB)
📄 04-sse+肘部法_.mp4 (46.8 MB)
📄 05-sc系数_.mp4 (32.0 MB)
📄 06-ch系数_.mp4 (30.9 MB)
📄 07-顾客群体聚类案例_.mp4 (76.0 MB)
📄 08-内容总结_.mp4 (14.0 MB)
📁 09-支持向量机SVM
📄 01.内容回顾_.mp4 (15.1 MB)
📄 02.支持向量机_.mp4 (56.0 MB)
📄 03-C参数的调整_.mp4 (15.6 MB)
📄 03-SVM的API_.mp4 (37.9 MB)
📄 04-svm推导过程1_.mp4 (37.4 MB)
📄 05-svm推导过程2_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.0 MB)
📄 06.svm推导过程3_.mp4 (9.4 MB)
📄 07.svm推导过程4_.mp4 (18.8 MB)
📄 08.核函数_.mp4 (78.7 MB)
📄 09.核函数总结_.mp4 (8.2 MB)
📁 阶段5-金融风控项目与数据挖掘
📁 day01
📄 01_信贷风险介绍_.mp4 (13.7 MB)
📄 02_信贷产品简介_.mp4 (10.0 MB)
📄 03_金融风控相关术语介绍_.mp4 (7.9 MB)
📄 04_业务指标计算案例_数据介绍_.mp4 (11.3 MB)
📄 05_业务指标计算案例_数据处理类型转换_.mp4 (31.8 MB)
📄 06_业务指标计算案例_创建逾期字段_.mp4 (14.9 MB)
📄 07_业务指标计算_90+逾期情况计算_.mp4 (27.2 MB)
📄 08_业务指标计算_数据可视化_.mp4 (9.3 MB)
📄 09_业务指标计算_计算入催率_.mp4 (19.1 MB)
📄 10_业务指标计算_回收账单逾期情况统计_【耗时整理‖免费分享 cunlove.cn】.mp4 (19.7 MB)
📄 11_风控业务运行介绍_.mp4 (14.7 MB)
📄 12_风控报表_表结构介绍_.mp4 (27.2 MB)
📄 13_风控报表_各阶段转化率_表关联关系说明_.mp4 (23.8 MB)
📄 14_风控报表_各阶段转化率_计算基础字段完成_.mp4 (16.1 MB)
📄 15_风控报表_各阶段转化率_统计每个用户的各阶段状态_.mp4 (16.7 MB)
📄 16_风控报表_各阶段转化率计算_【耗时整理‖免费分享 cunlove.cn】.mp4 (30.2 MB)
📄 17_风控报表_通过率计算_.mp4 (32.1 MB)
📄 18_风控报表_内容小结_.mp4 (30.5 MB)
📁 day02
📄 01_内容回顾_.mp4 (26.0 MB)
📄 02_通过率表和放款表_.mp4 (30.9 MB)
📄 03_Vintage报表概念介绍_.mp4 (16.5 MB)
📄 04_Vintage报表SQL实现_.mp4 (32.8 MB)
📄 05_Vintage报表问题说明&催收报表说明_.mp4 (31.7 MB)
📄 06_信贷审批流程介绍_.mp4 (24.8 MB)
📄 07_业务重点回顾_.mp4 (10.4 MB)
📄 08_建模流程概述_评分卡介绍和模型开发前准备_.mp4 (13.4 MB)
📄 09_建模流程概述_Y标签设计_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.0 MB)
📄 10_建模流程概述_Y标签阈值确定_.mp4 (11.1 MB)
📄 11_建模流程概述_Y标签确定观察期表现期_.mp4 (14.8 MB)
📄 12_模型建模概述_Y标签确定以及样本选取问题说明_.mp4 (13.2 MB)
📄 13_建模流程概述_特征构造_.mp4 (27.3 MB)
📄 14_决策树辅助构建规则案例说明_.mp4 (13.4 MB)
📄 15_今日重点内容回顾_.mp4 (30.2 MB)
📁 day03
📄 01_内容回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.5 MB)
📄 02_业务规则挖掘_代码实现1_.mp4 (32.4 MB)
📄 03_业务规则挖掘_代码实现2_【耗时整理‖免费分享 cunlove.cn】.mp4 (22.9 MB)
📄 04_特征构造_特征工程之前的准备_.mp4 (15.4 MB)
📄 05_特征构造_未来信息介绍_.mp4 (11.5 MB)
📄 06_特征构造_时序特征的特征构造_.mp4 (21.4 MB)
📄 07_特征衍生小结_.mp4 (22.6 MB)
📄 08_风控特征衍生问题强调_.mp4 (8.4 MB)
📄 09_特征变换_分箱介绍_.mp4 (20.4 MB)
📄 10_特征变换_卡方分箱_.mp4 (38.1 MB)
📄 11_特征变换_WOE编码_.mp4 (14.5 MB)
📄 12_特征变化_WOE编码代码实现_.mp4 (21.6 MB)
📄 13_特征变换小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.2 MB)
📄 14_特征筛选_单特征筛选_.mp4 (16.3 MB)
📄 15_单特征筛选小结_.mp4 (9.8 MB)
📄 16_今日小结_.mp4 (12.1 MB)
📁 day04
📄 01_昨日内容回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (20.3 MB)
📄 02_多特征筛选_星座特征和Boruta_.mp4 (15.1 MB)
📄 03_多特征筛选_星座特征和Boruta代码实现_.mp4 (21.5 MB)
📄 04_多特征筛选_方差膨胀系数VIF_.mp4 (17.2 MB)
📄 05_多特征筛选_方差膨胀系数代码实现_.mp4 (10.5 MB)
📄 06_多特征筛选_其它筛选方式和VIF问题说明_.mp4 (10.7 MB)
📄 07_多特征筛选_RFE和L1代码实现_.mp4 (24.8 MB)
📄 08_逻辑回归评分卡_如何评价模型好坏_.mp4 (15.8 MB)
📄 09_特征监控_【耗时整理‖免费分享 cunlove.cn】.mp4 (14.3 MB)
📄 10_逻辑回归评分卡介绍_.mp4 (17.7 MB)
📄 11_逻辑回归评分卡代码实现_.mp4 (19.4 MB)
📄 12_使用lightgbm特征重要性行进特征筛选_.mp4 (33.4 MB)
📄 13_逻辑回归评分卡问题说明_.mp4 (24.8 MB)
📄 14_评分卡训练过程顺序梳理_.mp4 (23.0 MB)
📄 15_模型报告计算_1_.mp4 (26.7 MB)
📄 16_模型报告计算_KS值说明_.mp4 (19.6 MB)
📄 17_内容回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (25.5 MB)
📁 day05
📄 01_昨日内容回顾(2)_.mp4 (26.9 MB)
📄 02_评分卡评分转换_.mp4 (37.7 MB)
📄 03_LightGBM原理_基于直方图的特征分裂_.mp4 (16.2 MB)
📄 04_LightGBM原理_直方图特征分裂示例代码说明_.mp4 (20.5 MB)
📄 05_LightGBM原理_GOSS_EFB_Leafwise生长策略_.mp4 (20.7 MB)
📄 06_LightGBM的API_学习率和早停_.mp4 (9.6 MB)
📄 07_LightGBM的API_学习率大小影响代码实现_.mp4 (44.2 MB)
📄 08_LightGBM的API_早停的影响_.mp4 (30.7 MB)
📄 09_LightGBM的API_自定义损失函数(了解)_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.7 MB)
📄 10_LightGBM特征重要性做交叉验证筛选特征_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.8 MB)
📄 11_LightGBM_按时间交叉验证做特征筛选_【耗时整理‖免费分享 cunlove.cn】.mp4 (46.4 MB)
📄 12_LightGBM评分卡_.mp4 (61.9 MB)
📁 day06
📄 01_内容回顾_.mp4 (13.5 MB)
📄 02_使用toad梳理评分卡开发流程_.mp4 (17.0 MB)
📄 03_数据加载&单特征筛选&分箱计算_.mp4 (24.5 MB)
📄 04_计算PSI&再次使用IV进行过滤_.mp4 (24.8 MB)
📄 05_特征筛选&模型训练_.mp4 (19.9 MB)
📄 06_模型训练&得到评分卡_.mp4 (25.7 MB)
📄 07_模型报告和生成评分卡代码说明_.mp4 (29.4 MB)
📄 08_通用套路说明_.mp4 (9.4 MB)
📄 09_样本不均衡问题的处理_classweight_.mp4 (28.0 MB)
📄 10_使用SMOTE做过采样_.mp4 (45.1 MB)
📄 11_样本不均衡问题小结_.mp4 (7.9 MB)
📄 12_异常点检测_LOF_.mp4 (17.3 MB)
📄 13_异常点检测_孤立森林_.mp4 (30.3 MB)
📄 14_异常检测_孤立森林应用场景_.mp4 (24.1 MB)
📄 15_今日内容小结_.mp4 (35.9 MB)
📁 day07
📄 01_昨日内容回顾_.mp4 (20.2 MB)
📄 02_拒绝推断的概念_.mp4 (15.5 MB)
📄 03_拒绝推断方法_硬截断&加权_.mp4 (7.8 MB)
📄 04_拒绝推断方法_模糊展开介绍&硬截断实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (25.7 MB)
📄 05_拒绝推断方法_模糊展开&重新加权代码实现_.mp4 (22.8 MB)
📄 06_拒绝推断完成_.mp4 (11.2 MB)
📄 07_模型可解释性介绍_.mp4 (12.5 MB)
📄 08_shap介绍_.mp4 (10.1 MB)
📄 09_shap代码实现_.mp4 (21.8 MB)
📄 10_GBDT特征衍生介绍_.mp4 (43.2 MB)
📄 11_GBDT特征衍生代码实现_.mp4 (34.0 MB)
📄 12_GBDT特征交叉小结_.mp4 (17.3 MB)
📄 13_整体回顾_01_【耗时整理‖免费分享 cunlove.cn】.mp4 (60.2 MB)
📄 14_整体回顾_02_.mp4 (14.9 MB)
📁 实战
📄 01_第一组答辩_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.3 MB)
📄 01_内容回顾_.mp4 (17.3 MB)
📄 02_版本控制工具简介_.mp4 (23.9 MB)
📄 02_第二组答辩_.mp4 (50.6 MB)
📄 03_第三组答辩_.mp4 (20.1 MB)
📄 03_项目仓库介绍_.mp4 (32.5 MB)
📄 04_.mp4 (31.9 MB)
📄 04_git操作_clone&commit&push_.mp4 (36.8 MB)
📄 05_第五组答辩_.mp4 (49.2 MB)
📄 05_git操作_拉分支冲突解决_.mp4 (28.2 MB)
📄 06_第六组答辩_.mp4 (11.6 MB)
📄 06_问题说明_.mp4 (63.1 MB)
📁 阶段6-深度学习基础
📁 00-深度学习简介
📄 01.课程介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (33.2 MB)
📄 02.深度学习简介1_.mp4 (36.3 MB)
📄 03.深度学习简介2_.mp4 (40.1 MB)
📁 01-pytorch框架
📄 01.pytorch简介_.mp4 (47.1 MB)
📄 02.GPU版本安装_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.5 MB)
📄 03-张量的创建_.mp4 (58.8 MB)
📄 04-线性张量和随机张量的创建_【耗时整理‖免费分享 cunlove.cn】.mp4 (27.3 MB)
📄 05-全0 ，1 张量的创建_.mp4 (15.7 MB)
📄 06-张量元素的类型转换_.mp4 (26.9 MB)
📄 07-张量的类型转换_.mp4 (40.2 MB)
📄 08-item方法_.mp4 (15.2 MB)
📄 09-内容总结_.mp4 (29.2 MB)
📄 10-内容回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.6 MB)
📄 11-张量的数值计算_【耗时整理‖免费分享 cunlove.cn】.mp4 (45.0 MB)
📄 12-张量运算_.mp4 (34.9 MB)
📄 13-索引操作_.mp4 (31.9 MB)
📄 14-布尔索引_.mp4 (25.7 MB)
📄 15-多维索引_.mp4 (26.1 MB)
📄 16-形状操作_【耗时整理‖免费分享 cunlove.cn】.mp4 (27.9 MB)
📄 17-内容回顾_.mp4 (3.1 MB)
📄 18-squeese_.mp4 (23.7 MB)
📄 19-transpose和permute_.mp4 (27.8 MB)
📄 20-view_.mp4 (30.4 MB)
📄 21-cat_.mp4 (23.5 MB)
📄 22-自动微分模块_.mp4 (75.6 MB)
📄 23-案例介绍1_.mp4 (88.9 MB)
📄 24-pytorch框架总结_.mp4 (18.7 MB)
📄 25.案例介绍2_.mp4 (82.2 MB)
📁 02-神经网络
📄 01-神经网络介绍_.mp4 (61.2 MB)
📄 02-神经网络构成_.mp4 (10.4 MB)
📄 03-神经网络参数和超参数_【耗时整理‖免费分享 cunlove.cn】.mp4 (7.3 MB)
📄 04-激活函数的作用_.mp4 (34.7 MB)
📄 05-sigmoid_.mp4 (38.7 MB)
📄 06-tanh_.mp4 (23.2 MB)
📄 07-relu_.mp4 (30.2 MB)
📄 08-softmax_.mp4 (58.4 MB)
📄 09-参数初始化1_.mp4 (34.5 MB)
📄 10-参数初始化_.mp4 (25.4 MB)
📄 12-神经网络构建_.mp4 (63.7 MB)
📄 13-参数量统计_.mp4 (24.9 MB)
📄 14.内容回顾_.mp4 (28.8 MB)
📄 15.交叉熵_.mp4 (67.7 MB)
📄 16.二分类交叉熵_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.8 MB)
📄 17.回归损失_.mp4 (44.6 MB)
📄 18-梯度下降算法_.mp4 (37.2 MB)
📄 19-反向传播过程_.mp4 (58.5 MB)
📄 20-反向传播实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (64.7 MB)
📄 21.SGD的问题_.mp4 (15.4 MB)
📄 22-指数加权平均_.mp4 (51.7 MB)
📄 23-动量法_.mp4 (32.2 MB)
📄 24-adagrad_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.6 MB)
📄 25.RMSprop_.mp4 (27.5 MB)
📄 26.等间隔学习率衰减_.mp4 (38.1 MB)
📄 27-学习率衰减_.mp4 (18.9 MB)
📄 28.内容回顾_.mp4 (41.6 MB)
📄 29.正则化_.mp4 (46.7 MB)
📄 30.BN层_.mp4 (16.2 MB)
📄 32.案例1_.mp4 (71.7 MB)
📄 33.训练_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.5 MB)
📄 34.预测评估_.mp4 (45.3 MB)
📁 03-CNN
📄 01-图像的基础知识_.mp4 (40.8 MB)
📄 02-卷积神经网络的构成_.mp4 (24.2 MB)
📄 03-卷积的计算_.mp4 (41.7 MB)
📄 04-卷积实现_.mp4 (50.2 MB)
📄 05-池化层_.mp4 (31.9 MB)
📄 06-数据获取_【耗时整理‖免费分享 cunlove.cn】.mp4 (35.8 MB)
📄 07-模型构建_.mp4 (50.9 MB)
📄 08-内容总结_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.2 MB)
📄 09-模型训练与评估_.mp4 (59.7 MB)
📁 04-RNN
📄 01-自然语言简介_.mp4 (34.8 MB)
📄 02-词嵌入介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (52.8 MB)
📄 03-RNN的思想_.mp4 (47.7 MB)
📄 04-RNN实践_.mp4 (14.2 MB)
📄 05-词表生成_.mp4 (97.0 MB)
📄 06-数据加载_.mp4 (43.7 MB)
📄 07-模型构建与训练_.mp4 (51.6 MB)
📄 08-模型预测_.mp4 (17.7 MB)
📄 总结_.mp4 (75.5 MB)
📁 阶段7-自然语言处理基础
📁 day01_NLP概述-文本预处理上
📄 01-【了解】nlp基础专业课前说明_.mp4 (50.2 MB)
📄 02-【了解】NLP简介和发展史_.mp4 (23.1 MB)
📄 03-【了解】NLP应用场景-小结_.mp4 (69.7 MB)
📄 04-【了解】文本预处理的主要环节_.mp4 (79.3 MB)
📄 05-【了解】分词的概念和作用-jieba工具简介_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.5 MB)
📄 06-【重要】jieba分词-三种分词模式_.mp4 (57.7 MB)
📄 07-【重要】jieba分词-用户自定义字典_.mp4 (30.6 MB)
📄 08-【了解】jieba分词-命名实体识别_.mp4 (7.7 MB)
📄 09-【了解】词向标注-小结_.mp4 (39.6 MB)
📄 10-【了解】onehot概念-onehot生成词向量思路分析_.mp4 (56.3 MB)
📄 11-【答疑】保存了tokenizer分词器没有保存onehot编码的结果_.mp4 (3.5 MB)
📄 12-【重要】onehot生成词向量代码实现_.mp4 (29.0 MB)
📄 12-【重要】onehot使用词向量_.mp4 (37.9 MB)
📄 13-【重要】onehot编码小结_.mp4 (14.8 MB)
📄 14-【重要】word2vec-理念-用深度学习权重参数来模拟词向量_.mp4 (62.5 MB)
📄 15-【重要】word2vec-cbow的词向量训练原理_.mp4 (38.6 MB)
📄 16-【重要】word2vec-cbow的词向量如何获取_.mp4 (14.4 MB)
📄 17-【了解】中午课程回顾_.mp4 (71.7 MB)
📄 18-【重要】word2vec-skipgram方式训练词向量原理_.mp4 (29.2 MB)
📄 19-【实验课】配置pycharm连接远程服务器python环境_.mp4 (80.5 MB)
📄 20-【实验课】配置pycharm连接远程服务器python环境-小结_.mp4 (27.6 MB)
📄 21-【实验课】经常遇到的问题_.mp4 (40.9 MB)
📄 22-【实验课】nlpbase资源包说明_.mp4 (20.5 MB)
📄 23-【了解】fasttext训练词向量-处理数据-下载工具包_.mp4 (53.3 MB)
📄 24-【了解】fasttext查看单词词向量-查看临近词_.mp4 (54.9 MB)
📄 25-【了解】fasttext训练参数调整_.mp4 (49.8 MB)
📄 26-【重要】word2vec和nn-Embedding区别和联系_.mp4 (23.4 MB)
📄 27-【重要】词向量可视化需求分析_.mp4 (38.1 MB)
📄 28-【重要】词向量可视化代码串讲_.mp4 (24.1 MB)
📄 28-【重要】词向量可视化代码实现_.mp4 (57.2 MB)
📄 29-【重要】nn-Embedding词向量数据形状变化_.mp4 (34.0 MB)
📄 30-【答疑】语料单词个数和词向量单词个数大小关系_.mp4 (40.3 MB)
📄 31-【重要】数据形状代码调试_.mp4 (10.7 MB)
📄 32【了解】今天作业-下一次课程内容_.mp4 (27.6 MB)
📁 day02_文本预处理下
📄 01-【了解】课程复习_.mp4 (90.0 MB)
📄 02-【了解】文本数据分析概念-语料介绍_.mp4 (55.1 MB)
📄 03-【了解】标签数量分布-分析和实现_.mp4 (93.4 MB)
📄 04-【了解】句子长度分布-思路分析_.mp4 (32.3 MB)
📄 05-【了解】句子长度分布-代码实现_.mp4 (23.8 MB)
📄 06-【了解】散点图-分析和实现_.mp4 (20.1 MB)
📄 07-【了解】单词总数-思路分析_.mp4 (38.8 MB)
📄 08-【了解】单词总数-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.1 MB)
📄 09-【了解】词云生成-思路分析-代码调试_.mp4 (99.8 MB)
📄 10-【重要】文本数据分析总结和练习题_.mp4 (31.4 MB)
📄 11-【了解】文本特征-n-gram特征_【耗时整理‖免费分享 cunlove.cn】.mp4 (68.0 MB)
📄 12-【了解】文本特征-zip函数_.mp4 (8.6 MB)
📄 13-【了解】文本特征-文本长度规范_.mp4 (33.3 MB)
📄 14-【了解】数据增强法和小结练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.4 MB)
📄 15-【了解】中午课程复习_.mp4 (26.5 MB)
📄 16-【了解】rnn模型的概念和作用_.mp4 (30.0 MB)
📄 17-【重要】rnn模型结构_.mp4 (34.2 MB)
📄 18-【了解】小结和练习_.mp4 (9.4 MB)
📄 19-【重要】rnn内部结构_.mp4 (32.8 MB)
📄 20-【重要】rnnapi-主参数和辅助参数-分析_.mp4 (37.2 MB)
📄 20-【重要】rnnapi-主参数和辅助参数-实现_.mp4 (76.7 MB)
📄 21-【重要】rnnapi-参数研究_.mp4 (39.2 MB)
📄 22-【重要】rnnapi-参数研究.batch-size_.mp4 (9.5 MB)
📄 23-【重要】rnnapi-参数研究.隐藏层1-2_.mp4 (45.2 MB)
📄 24-【重要】rnnapi-参数研究.隐藏层个数为n_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.6 MB)
📄 25-【答疑】rnn如何批量的处理数据_.mp4 (25.9 MB)
📄 26-【重要】rnnapi-参数研究.batchfirst_.mp4 (20.2 MB)
📄 27-【重要】rnnapi-给模型喂数据的2种方式-实现_.mp4 (30.1 MB)
📄 27-【重要】rnnapi-给模型喂数据的2种方式_.mp4 (43.5 MB)
📄 28-【重要】总结和作业_.mp4 (38.1 MB)
📁 day03_RNN及其变体
📄 01-【了解】文本数据分析-复习_.mp4 (46.4 MB)
📄 02-【重要】rnn-api复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (56.8 MB)
📄 03-【重要】lstm概念和内部结构_.mp4 (65.2 MB)
📄 04-【问答】lstm为什么有记忆功能_.mp4 (19.6 MB)
📄 05-【重要】lstm-内部结构-pi函数_.mp4 (66.2 MB)
📄 06-【了解】小结和练习_.mp4 (10.7 MB)
📄 07-【答疑】链式求导-梯度消失-梯度爆炸-lstm缓解_.mp4 (32.0 MB)
📄 08-【了解】gru概念和内部结构_.mp4 (33.1 MB)
📄 09-【了解】gru-api函数和小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (45.5 MB)
📄 10-【课堂答疑】有关批量给RNN送数据是如何支持的_.mp4 (17.2 MB)
📄 11-【重要】案例介绍_.mp4 (65.4 MB)
📄 12-【了解】数据处理-字母表-国家名_.mp4 (33.7 MB)
📄 13-【了解】数据处理-读数据到内存_.mp4 (37.2 MB)
📄 14-【了解】数据处理-三部曲解释_.mp4 (39.8 MB)
📄 15-【重要】数据处理-构建dataset-dataloader-思路分析_.mp4 (40.1 MB)
📄 16-【重要】数据处理-构建dataset代码实现_.mp4 (36.7 MB)
📄 17-【重要】数据处理-构建dataloader代码实现_.mp4 (22.9 MB)
📄 18-【了解】中午课程回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (91.1 MB)
📄 19-【了解】数据处理-总结和练习_.mp4 (14.7 MB)
📄 20-【重要】rnn模型-思路分析_.mp4 (88.8 MB)
📄 21-【重要】rnn模型-rnn模型的init_.mp4 (30.3 MB)
📄 22-【重要】rnn模型-rnn模型的forward_.mp4 (32.3 MB)
📄 23-【重要】rnn模型-rnn模型的测试给模型喂数据_.mp4 (24.1 MB)
📄 24-【了解】lstm模型-构建实现_.mp4 (30.0 MB)
📄 25-【了解】gru模型-构建实现_.mp4 (17.1 MB)
📄 26-【重要】rnn数据形状练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.2 MB)
📄 27-【了解】rnn模型训练-代码串讲_.mp4 (58.1 MB)
📄 28-【了解】rnn模型训练-代码调试_.mp4 (12.8 MB)
📄 29-【了解】rnn模型训练-代码实现_.mp4 (91.3 MB)
📄 30-【答疑】为什么一开始准确率很高-shuffle=False的原因_.mp4 (9.9 MB)
📄 31-【了解】lstm模型训练-实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.7 MB)
📄 32-【了解】gru模型训练-实现_.mp4 (10.7 MB)
📄 33-【了解】模型训练效果分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.2 MB)
📄 34-【了解】小结和今天作业_.mp4 (15.3 MB)
📄 35-【重要】课堂答疑画图函数不能使用loss-item_.mp4 (22.8 MB)
📁 day04_案例人名分类器
📄 01-【了解】上一次课程复习_.mp4 (81.6 MB)
📄 02-【了解】rnn模型预测-思路分析_.mp4 (40.7 MB)
📄 03-【了解】rnn模型预测-代码实现_.mp4 (48.5 MB)
📄 04-【了解】lstm模型预测_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.0 MB)
📄 05-【了解】gru模型预测_.mp4 (8.1 MB)
📄 06-【了解】小结和练习_.mp4 (10.3 MB)
📄 07-【了解】实验课-服务器上训练模型-为什么要转后台程序_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.7 MB)
📄 08-【了解】实验课-转后台进程-实时查看后台进程日志_.mp4 (27.9 MB)
📄 09-【了解】实验课-修改日志的名字-操作梳理_.mp4 (19.4 MB)
📄 10-【了解】实验课-经常的问题_.mp4 (43.4 MB)
📄 11-【了解】实验课-有关GPU训练模型要点_.mp4 (56.9 MB)
📄 12-【了解】实验课-模型todevice-数据todevice_.mp4 (83.9 MB)
📄 13-【了解】实验课-把模型togpu是什么意思_.mp4 (29.6 MB)
📄 14-【了解】实验课-有关loss是在gpu上还是cpu上_.mp4 (22.4 MB)
📄 15-【了解】实验课-有关loss是在gpu上还是cpu上-代码验证_.mp4 (20.6 MB)
📄 16-【重要】注意力机制-概念和为什么_.mp4 (28.4 MB)
📄 17-【重要】注意力机制-qkv概念_.mp4 (21.1 MB)
📄 18-【重要】注意力机制-qkv栗子_.mp4 (23.1 MB)
📄 19-【重要】注意力机制的2个步骤_【耗时整理‖免费分享 cunlove.cn】.mp4 (59.4 MB)
📄 20-【了解】注意力机制小结和练习题_.mp4 (11.0 MB)
📄 21-【重要】中午课程复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (90.3 MB)
📄 22-【重要】seq2seq架构介绍_.mp4 (65.4 MB)
📄 23-【重要】seq2seq架构解码器中的qkv绍_.mp4 (55.1 MB)
📄 24-【答疑】每个时间步的3个动作_.mp4 (28.3 MB)
📄 25-【重要】注意力机制qkv运算的实际意义_.mp4 (31.8 MB)
📄 27-【重要】小结和练习_.mp4 (17.4 MB)
📄 28-【强调】-最后梳理解码时每个时间步都有3个动作_.mp4 (7.7 MB)
📄 29-【重要】注意力机制公式-思路分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (108.1 MB)
📄 30-【重要】注意力机制公式-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (77.1 MB)
📄 31-【了解】总结和练习_.mp4 (48.6 MB)
📄 32-【重要】bmm运算矩阵运算-意义解读_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.4 MB)
📄 33-【了解】小结和作业_.mp4 (8.0 MB)
📁 day05_注意力机制seq2seq
📄 01-【重要】上一次课程复习_.mp4 (57.4 MB)
📄 02-【了解】案例介绍-案例需求和数据介绍_.mp4 (41.8 MB)
📄 03-【了解】案例介绍-任务识别_.mp4 (34.9 MB)
📄 04-【了解】案例介绍-效果-小结和练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (30.1 MB)
📄 05-【了解】数据处理-导包_.mp4 (60.9 MB)
📄 06-【了解】数据处理-构建语言对-思路分析_.mp4 (76.0 MB)
📄 07-【了解】数据处理-构建语言对-代码实现_.mp4 (57.3 MB)
📄 08-【了解】数据处理-构建字典_.mp4 (60.2 MB)
📄 09-【了解】数据处理-dataset和dataloader-思路分析_.mp4 (35.8 MB)
📄 10-【了解】数据处理-dataset和dataloader代码实现_.mp4 (47.4 MB)
📄 11-【重要】数据处理-总结和练习_.mp4 (44.5 MB)
📄 12-【重要】编码器-思路分析_.mp4 (64.7 MB)
📄 13-【重要】编码器-代码实现_.mp4 (54.9 MB)
📄 14-【重要】编码器-代码测试_.mp4 (21.7 MB)
📄 15-【了解】中午课程回顾_【耗时整理‖免费分享 cunlove.cn】.mp4 (45.0 MB)
📄 16-【了解】解码器-思路分析_.mp4 (73.9 MB)
📄 17-【了解】解码器-代码实现_.mp4 (31.8 MB)
📄 18-【了解】解码器-代码测试_【耗时整理‖免费分享 cunlove.cn】.mp4 (35.2 MB)
📄 19-【答疑】解码时-省略了输入go出来y1_.mp4 (4.8 MB)
📄 20-【重要】attention解码器-思路分析_.mp4 (107.9 MB)
📄 21-【重要】attention解码器-代码实现_.mp4 (56.9 MB)
📄 22-【重要】attention解码器-代码调试_【耗时整理‖免费分享 cunlove.cn】.mp4 (62.5 MB)
📄 23-【了解】编码器解码器-小结和练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.4 MB)
📄 24-【了解】模型训练-业务函数思路分析_.mp4 (74.5 MB)
📄 25-【了解】模型训练-业务函数代码实现_.mp4 (76.3 MB)
📄 26-【重要】模型训练-内部训练函数-实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (93.0 MB)
📄 27-【重要】模型训练-模型训练小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.4 MB)
📄 28-【补充】有关损失函数的2种用法_.mp4 (64.0 MB)
📁 day06_注意力机制seq2seq
📄 01-【重要】上一次课程复习_.mp4 (165.8 MB)
📄 02-【重要】teacher-forcing概念和作用_.mp4 (58.2 MB)
📄 03-【了解】模型预测-业务测试函数串讲_.mp4 (45.8 MB)
📄 04-【了解】模型预测-业务函数串讲_.mp4 (62.0 MB)
📄 05-【了解】每个时间步的权重分布-制图_.mp4 (61.6 MB)
📄 06-【实验】在gpu上训练seq2seq_.mp4 (66.7 MB)
📄 07-【了解】transformer简介_【耗时整理‖免费分享 cunlove.cn】.mp4 (61.6 MB)
📄 08-【重要】transformer架构_.mp4 (33.3 MB)
📄 09-【重要】记忆一遍transformer架构_.mp4 (31.3 MB)
📄 10-【重要】transformer常见问题_【耗时整理‖免费分享 cunlove.cn】.mp4 (27.6 MB)
📄 11-【重要】transformer小结和练习_.mp4 (8.9 MB)
📄 12-【了解】中午课程复习_.mp4 (53.4 MB)
📄 13-【了解】transformer结构复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (50.8 MB)
📄 14-【了解】位置编码器层-思路分析_.mp4 (45.9 MB)
📄 15-【了解】位置编码器层-代码实现_.mp4 (17.8 MB)
📄 16-【了解】位置编码器层-机理_.mp4 (47.6 MB)
📄 17-【重要】位置编码器层-思路分析_.mp4 (137.9 MB)
📄 18-【了解】位置编码器层-答疑广播机制_【耗时整理‖免费分享 cunlove.cn】.mp4 (9.3 MB)
📄 19-【了解】位置编码器层-代码实现_.mp4 (48.9 MB)
📄 20-【了解】位置编码器层-代码调试_.mp4 (22.4 MB)
📄 21-【了解】总结和练习_.mp4 (8.5 MB)
📄 22-【了解】上三角矩阵和下三角矩阵-解码时防止模型看到未来信息_.mp4 (54.8 MB)
📄 23-【重要】自注意力计算规则_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.5 MB)
📄 24-【重要】自注意力计算规则-意义解读_.mp4 (58.6 MB)
📄 25-【重要】注意力机制计算规则-代码实现_.mp4 (56.5 MB)
📄 26-【重要】注意力机制计算规则-mask权重分布-结果解读_.mp4 (53.0 MB)
📄 27-【了解】小结和作业_.mp4 (8.7 MB)
📁 day07_Transformer
📄 01-【了解】录制seq2seq训练函数-打样_【耗时整理‖免费分享 cunlove.cn】.mp4 (52.5 MB)
📄 02-【重要】复习transformer框架-添加位置特性-自注意力机制_.mp4 (67.6 MB)
📄 03-【重要】注意力机制中的1方向和2方向_.mp4 (49.2 MB)
📄 04-【重要】多头注意力机制-概念-作用-结构图_.mp4 (44.8 MB)
📄 05-【重要】多头注意力机制-数据形状变化分析_.mp4 (22.5 MB)
📄 06-【重要】多头注意力机制-代码数据形状分析_.mp4 (86.9 MB)
📄 07-【重要】多头注意力机制-代码疑难点讲解_.mp4 (79.6 MB)
📄 08-【重要】多头注意力机制-代码实现_.mp4 (75.2 MB)
📄 09-【了解】多头注意力机制-代码调试_.mp4 (15.5 MB)
📄 10-【了解】多头注意力机制-小结_.mp4 (10.3 MB)
📄 11-【了解】前馈全连接层-思路分析_.mp4 (6.2 MB)
📄 12-【了解】前馈全连接层-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (19.0 MB)
📄 13-【重要】为什么要规范化层-代码分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (80.7 MB)
📄 14-【答疑】数据和权重参数要分开-权重参数的作用_.mp4 (16.7 MB)
📄 15-【重要】规范化层-代码实现_.mp4 (26.0 MB)
📄 16-【答疑】batchnorm和layernorm的联系和区别_【耗时整理‖免费分享 cunlove.cn】.mp4 (32.1 MB)
📄 17-【了解】中午课程回顾_.mp4 (34.9 MB)
📄 18-【重要】子层连接结构-思路分析_.mp4 (73.3 MB)
📄 19-【重要】子层连接结构-代码实现_.mp4 (41.7 MB)
📄 20-【了解】有关残差连接的说明_.mp4 (39.0 MB)
📄 21-【了解】编码器层-思路分析_.mp4 (38.0 MB)
📄 22-【了解】编码器层-代码实现_.mp4 (18.8 MB)
📄 23-【了解】编码器-思路分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.5 MB)
📄 24-【了解】编码器-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.5 MB)
📄 25-【了解】编码器层和编码器部分-小结和练习_.mp4 (20.8 MB)
📄 26-【了解】解码器层-思路分析_.mp4 (56.2 MB)
📄 27-【了解】解码器层-代码实现_.mp4 (44.3 MB)
📄 28-【了解】解码器-思路分析和代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.6 MB)
📄 29-【重要】有关mask的作用_.mp4 (54.2 MB)
📄 30-【重要】有关如何使用中间语义张量C_.mp4 (5.3 MB)
📄 31-【了解】作业和小结_.mp4 (18.5 MB)
📁 day08_fasttext分类-词向量迁移
📄 01-【了解】编码部分-复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (92.9 MB)
📄 02-【了解】解码部分-复习_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.2 MB)
📄 03-【了解】输出部分_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.8 MB)
📄 04-【了解】makemodel-思路分析_.mp4 (68.0 MB)
📄 05-【了解】makemodel-代码实现1_.mp4 (55.8 MB)
📄 06-【重要】词嵌入层为什么不c_【耗时整理‖免费分享 cunlove.cn】.mp4 (40.4 MB)
📄 07-【了解】复盘小结_.mp4 (95.4 MB)
📄 08-【了解】fasttext概念-优势-安装_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.5 MB)
📄 09-【重要】层次softmax比普通softmax速度快-答案_.mp4 (36.3 MB)
📄 10-【重要】层次softmax计算概率的栗子_.mp4 (10.6 MB)
📄 11-【重要】构建霍夫曼树_【耗时整理‖免费分享 cunlove.cn】.mp4 (44.2 MB)
📄 12【面试题】-霍夫曼树是如何被训练出来-构建联合概率-通过极大似然损失构建损失函数训练出来_.mp4 (48.9 MB)
📄 13-【面试图】负采样只更新一部分权重参数_.mp4 (44.3 MB)
📄 14-【了解】小结和练习_.mp4 (16.2 MB)
📄 15-【了解】中午课程复习_.mp4 (30.1 MB)
📄 16-【了解】fasttext模型常见面试题复习_.mp4 (25.6 MB)
📄 17-【复习】文本处理基本方法-张量表示_【耗时整理‖免费分享 cunlove.cn】.mp4 (80.5 MB)
📄 18-【复习】有关词向量技术体系演变的社会学思考_.mp4 (10.4 MB)
📄 19-【复习】文本预处理其他_.mp4 (29.5 MB)
📄 20-【复习】rnn相关_.mp4 (26.3 MB)
📄 21-【复习】gru和lstm-注意力机制_.mp4 (47.4 MB)
📄 22-【复习】人名分类器案例_.mp4 (48.1 MB)
📄 23-【复习】seq2seq案例复习_.mp4 (32.8 MB)
📄 24-【复习】transformer架构_.mp4 (27.4 MB)
📄 25-【测试】同学测试演讲seq2seq_.mp4 (24.8 MB)
📄 26-【测试】同学测试演讲seq2seq_.mp4 (31.9 MB)
📄 27-【了解】fasttext文本分类案例-数据处理_.mp4 (79.7 MB)
📄 28-【重要】fasttext文本分类案例-模型预测-思路分析_.mp4 (22.1 MB)
📁 day09_迁移学习transformers
📄 01-【了解】fasttext复习_.mp4 (32.4 MB)
📄 02-【了解】fasttext调参-数据处理_.mp4 (73.6 MB)
📄 03-【了解】fasttext调参-训练轮次-学习率-n-gram_.mp4 (28.3 MB)
📄 04-【重要】学习率调整注意事情_.mp4 (19.1 MB)
📄 05-【了解】fasttext调参-计算损失_.mp4 (13.6 MB)
📄 06-【了解】自动超参数调优_.mp4 (19.9 MB)
📄 07-【了解】多标签多分类-损失函数更换_.mp4 (58.7 MB)
📄 08-【了解】总结和练习_【耗时整理‖免费分享 cunlove.cn】.mp4 (9.1 MB)
📄 09-【了解】词向量迁移介绍_.mp4 (41.2 MB)
📄 10-【了解】迁移学习概念_.mp4 (57.7 MB)
📄 11-【了解】预训练模型分类_.mp4 (44.9 MB)
📄 12-【了解】hgface官网下载预训练模型_【耗时整理‖免费分享 cunlove.cn】.mp4 (54.7 MB)
📄 13-【重要】pipeline-文本分类思路分析_.mp4 (33.1 MB)
📄 14-【重要】pipeline-文本分类代码实现_.mp4 (27.7 MB)
📄 15-【重要】pipeline-不带头特征抽取_.mp4 (30.1 MB)
📄 16-【重要】pipeline-不带头特征抽取-代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (22.4 MB)
📄 17-【重要】pipeline-完形填空任务_.mp4 (18.2 MB)
📄 18-【了解】pipeline-阅读理解-摘要_.mp4 (43.9 MB)
📄 19-【了解】pipeline-NER任务_.mp4 (20.6 MB)
📄 20-【了解】中午课程回顾_.mp4 (31.9 MB)
📄 21-【重要】automodel-文本分类_.mp4 (88.0 MB)
📄 22-【重要】automodel-文本分类-编码_.mp4 (55.6 MB)
📄 23-【重要】automodel-文本分类-注意点_【耗时整理‖免费分享 cunlove.cn】.mp4 (32.9 MB)
📄 24-【重要】automodel-文本分类-注意点_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.9 MB)
📄 25-【重要】automodel-提取特征-思路分析_.mp4 (84.7 MB)
📄 26-【重要】automodel-提取特征-思路分析_.mp4 (33.9 MB)
📄 27-【重要】automodel-mask任务-思路分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (57.8 MB)
📄 28-【重要】automodel-mask任务-代码实现_.mp4 (36.5 MB)
📄 29-【了解】automodel-抽取式问答_【耗时整理‖免费分享 cunlove.cn】.mp4 (46.2 MB)
📄 31-【了解】automodel-NER任务_.mp4 (58.4 MB)
📄 32-【重要】automodel小结_.mp4 (9.3 MB)
📄 33-【重要】指定模型方式-完型填空_【耗时整理‖免费分享 cunlove.cn】.mp4 (46.3 MB)
📄 34-【重要】automodel-指定模型对比小结_.mp4 (22.3 MB)
📄 35-【了解】作业_.mp4 (6.3 MB)
📁 day10_迁移学习案例实战
📄 01-【了解】上一次课程复习_.mp4 (40.8 MB)
📄 02-【了解】中文分类-任务介绍-数据集介绍_.mp4 (51.4 MB)
📄 03-【了解】中文分类-数据处理-dataset操作_.mp4 (52.5 MB)
📄 04-【了解】中文分类-数据处理-dataset操作-代码编写_.mp4 (23.5 MB)
📄 05-【重要】中文分类-数据处理-数据二次处理-思路分析_.mp4 (92.8 MB)
📄 06-【重要】中文分类-数据处理-数据二次处理-代码实现_.mp4 (54.6 MB)
📄 07-【重要】中文分类-搭建迁移学习模型-思路分析_.mp4 (64.9 MB)
📄 08-【重要】中文分类-搭建迁移学习模型-代码实现_.mp4 (20.4 MB)
📄 09-【重要】中文分类-搭建迁移学习模型-调试_.mp4 (19.0 MB)
📄 10-【了解】中文分类-模型训练-思路分析_.mp4 (31.2 MB)
📄 11-【了解】中文分类-模型训练-代码实现_.mp4 (75.8 MB)
📄 12-【了解】中文分类-模型预测_.mp4 (60.3 MB)
📄 13-【了解】中文分类-小结和习题_【耗时整理‖免费分享 cunlove.cn】.mp4 (9.6 MB)
📄 14-【了解】中午课程回顾_.mp4 (77.7 MB)
📄 15-【重要】mask任务-任务识别_.mp4 (11.5 MB)
📄 16-【重要】mask任务-数据处理-过滤器_【耗时整理‖免费分享 cunlove.cn】.mp4 (35.1 MB)
📄 17-【重要】mask单词的特征是如何被表达出来的_.mp4 (28.2 MB)
📄 18-【重要】mask任务-数据处理-过滤器-代码实现_.mp4 (17.9 MB)
📄 19-【重要】mask任务-数据处理-二次处理-思路分析_.mp4 (59.2 MB)
📄 20-【重要】mask任务-数据处理-二次处理-代码实现_.mp4 (52.5 MB)
📄 21-【重要】mask任务-模型-思路分析_.mp4 (43.6 MB)
📄 22-【重要】mask任务-模型-代码实现_.mp4 (35.3 MB)
📄 23-【重要】mask任务-模型训练-思路分析_.mp4 (35.7 MB)
📄 24-【重要】mask任务-模型训练-代码移植_.mp4 (27.7 MB)
📄 25-【了解】mask任务-模型评估_.mp4 (26.1 MB)
📄 26-【了解】mask任务-小结_.mp4 (5.4 MB)
📄 27-【重要】nsp任务-任务识别_.mp4 (24.7 MB)
📄 28-【重要】nsp任务-数据处理-思路分析_.mp4 (71.3 MB)
📄 29-【重要】nsp任务-数据处理-代码实现_.mp4 (61.6 MB)
📄 30-【重要】nsp任务-二次数据处理-思路分析_.mp4 (38.2 MB)
📄 31-【重要】nsp任务-二次数据处理-代码实现_.mp4 (21.0 MB)
📄 32-【重要】作业和小结_.mp4 (9.7 MB)
📄 33-【答疑】nsp产生正负样本-mask数据103_.mp4 (30.7 MB)
📁 day11_bert模型简介和总结
📄 01-【了解】上一次课程复习_.mp4 (91.2 MB)
📄 02-【了解】nsp任务-模型搭建_.mp4 (47.1 MB)
📄 03-【了解】nsp任务-模型训练_.mp4 (34.2 MB)
📄 04-【重要】答疑nsp任务关系是如何被bert模型表征的_.mp4 (19.2 MB)
📄 05-【了解】nsp任务-模型评估_.mp4 (19.6 MB)
📄 06-【了解】nsp任务-小结和练习_.mp4 (15.5 MB)
📄 07-【重要】bert模型简介和时间点_.mp4 (31.9 MB)
📄 08-【重要】bert模型-三大模型抽取事物特征-对比_.mp4 (47.6 MB)
📄 09-【重要】bert模型-Embedding-编码-微调方案_.mp4 (80.0 MB)
📄 10-【答疑】bert模型表征整个句子-101和102的区别_【耗时整理‖免费分享 cunlove.cn】.mp4 (14.7 MB)
📄 11-【重要】bert模型预训练任务-mlm任务_.mp4 (62.3 MB)
📄 12-【重要】bert模型预训练任务-nsp-小结和练习_.mp4 (25.1 MB)
📄 13-【了解】GLUE和CLUE_.mp4 (71.8 MB)
📄 14-【重要】elmo模型支持动态词向量-抛转_.mp4 (60.4 MB)
📄 15-【重要】bert模型动态词向量支持实验_.mp4 (36.2 MB)
📄 16-【重要】bert模型静态词向量支持实验_.mp4 (77.9 MB)
📄 17-【重要】elmo的历史意义_.mp4 (14.7 MB)
📄 18-【了解】elmo二阶段训练_【耗时整理‖免费分享 cunlove.cn】.mp4 (14.1 MB)
📄 19-【了解】elmo效果和改进点_.mp4 (14.4 MB)
📄 20-【重要】复习bert-源代码导读_.mp4 (83.3 MB)
📄 21-【重要】复习elmo_.mp4 (11.2 MB)
📄 22-【了解】gpt工作方式简介_.mp4 (37.8 MB)
📄 23-【重要】gpt工作处理过程_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.4 MB)
📄 24-【重要】gpt工作处理过程-小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (14.2 MB)
📄 25-【了解】三大模型对比优缺点_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.8 MB)
📄 26-【了解】复习题_.mp4 (16.4 MB)
📁 阶段8-AI医疗项目实战
📁 day01
📄 day01-01 AI医生背景介绍_.mp4 (49.9 MB)
📄 day01-02 AI医生背景介绍2_.mp4 (13.1 MB)
📄 day01-03 工具介绍-unit api介绍_.mp4 (42.4 MB)
📄 day01-04 远程连接虚拟机_.mp4 (14.9 MB)
📄 day01-05 工具介绍-unit代码运行_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.2 MB)
📄 day01-06 工具介绍-flask介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.5 MB)
📄 day01-07 工具介绍-gunicorn_.mp4 (22.3 MB)
📄 day01-08 工具介绍-redis介绍_.mp4 (28.4 MB)
📄 day01-09 课件答疑_.mp4 (22.0 MB)
📄 day01-10 工具介绍-redis代码_.mp4 (15.1 MB)
📄 day01-11 工具介绍-supervisor_.mp4 (25.7 MB)
📄 day01-12 工具介绍-supervisor配置_.mp4 (18.3 MB)
📄 day01-13 上午复习1_.mp4 (32.2 MB)
📄 day01-14 上午复习2_【耗时整理‖免费分享 cunlove.cn】.mp4 (49.0 MB)
📄 day01-15 neo4j介绍_.mp4 (27.8 MB)
📄 day01-16 neo4j安装_.mp4 (40.2 MB)
📄 day01-17 supervisor管理neo4j_.mp4 (16.1 MB)
📄 day01-18 Cypher语法介绍-创建节点_.mp4 (29.3 MB)
📄 day01-19 Cypher语法介绍-创建关系_.mp4 (13.9 MB)
📄 day01-20 Cypher语法介绍-查询删除排序_.mp4 (28.4 MB)
📄 day01-21 Cypher语法介绍-字符串_.mp4 (18.4 MB)
📄 day01-22 Cypher语法介绍-聚合函数_.mp4 (9.7 MB)
📄 day01-23 索引介绍_.mp4 (10.6 MB)
📄 day01-24 Cypher语法介绍-创建删除索引_【耗时整理‖免费分享 cunlove.cn】.mp4 (4.6 MB)
📄 day01-25 python使用neo4j_.mp4 (28.2 MB)
📄 day01-26 neo4j事务_.mp4 (23.4 MB)
📁 day02
📄 day02-01 作业点评_.mp4 (17.9 MB)
📄 day02-02 昨日复习_.mp4 (114.2 MB)
📄 day02-03 离线部分介绍_.mp4 (23.6 MB)
📄 day02-04 结构化数据流程介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (84.0 MB)
📄 day02-05 结构化数据写入neo4j1_.mp4 (35.5 MB)
📄 day02-06 结构化数据写入neo4j2_.mp4 (48.6 MB)
📄 day02-07 课间答疑_.mp4 (25.7 MB)
📄 day02-08 非结构化数据流程介绍_.mp4 (13.5 MB)
📄 day02-09 命名实体审核任务介绍_.mp4 (20.5 MB)
📄 day02-10 命名实体审核数据查看_.mp4 (7.8 MB)
📄 day02-11 上午复习_.mp4 (30.9 MB)
📄 day02-12 中文预训练模型介绍_.mp4 (39.7 MB)
📄 day02-13 预训练模型代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.9 MB)
📄 day02-14 RNN模型介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (19.1 MB)
📄 day02-15 课间答疑_.mp4 (11.9 MB)
📄 day02-16 RNN模型代码实现_.mp4 (37.1 MB)
📄 day02-17 随机取样函数实现_.mp4 (21.3 MB)
📄 day02-18 训练函数介绍_.mp4 (21.7 MB)
📄 day02-19 训练函数代码实现_.mp4 (49.2 MB)
📄 day02-20 主函数流程介绍_.mp4 (24.6 MB)
📄 day02-21 主函数代码实现_.mp4 (67.5 MB)
📄 day02-22 模型使用介绍_.mp4 (37.0 MB)
📄 day02-23 模型使用代码实现_.mp4 (55.7 MB)
📁 day03
📄 day03-01 作业点评_.mp4 (20.7 MB)
📄 day03-02 昨日复习_.mp4 (37.4 MB)
📄 day03-03 序列标注问题介绍_.mp4 (70.2 MB)
📄 day03-04 统计语言模型介绍_.mp4 (62.1 MB)
📄 day03-05 马尔可夫模型介绍_.mp4 (22.1 MB)
📄 day03-06 隐马尔可夫模型介绍_.mp4 (58.7 MB)
📄 day03-07 球和盒子模型介绍_.mp4 (61.5 MB)
📄 day03-08 前向概率算法_.mp4 (74.9 MB)
📄 day03-09 前向概率代码_.mp4 (25.1 MB)
📄 day03-10 分词案例背景介绍_.mp4 (72.0 MB)
📄 day03-11 上午复习_.mp4 (56.8 MB)
📄 day03-12 隐马模型训练代码分析1_.mp4 (81.2 MB)
📄 day03-13 隐马模型训练代码分析2_.mp4 (35.9 MB)
📄 day03-14 维特比算法介绍_.mp4 (65.3 MB)
📄 day03-15 维特比算法分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.8 MB)
📄 day03-16 维特比算法示例_.mp4 (32.1 MB)
📄 day03-17 维特比算法代码实现_.mp4 (59.5 MB)
📄 day03-18 内容串讲_.mp4 (82.8 MB)
📄 day03-19 分词代码分析_.mp4 (50.1 MB)
📄 day03-20 分词指标介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (35.3 MB)
📄 day03-21 作业说明_.mp4 (20.9 MB)
📁 day04
📄 01 昨日复习_(8164082).mp4 (260.8 MB)
📄 02 作业说明_(8164082).mp4 (20.3 MB)
📄 03 CRF模型介绍_(8164082)【耗时整理‖免费分享 cunlove.cn】.mp4 (40.5 MB)
📄 04 BiLSTM模型介绍_(8499999).mp4 (40.6 MB)
📄 05 BiLSTM+CRF模型介绍_(7935387).mp4 (29.1 MB)
📄 06 模型损失函数构建_(8064745).mp4 (70.9 MB)
📄 07 单条路径分数计算_(1416811)【耗时整理‖免费分享 cunlove.cn】.mp4 (56.1 MB)
📄 08 全部路径分数计算_(0760198).mp4 (82.8 MB)
📄 09 单条路径分数计算代码_(5647234)【耗时整理‖免费分享 cunlove.cn】.mp4 (63.5 MB)
📄 10 全部路径分数计算代码_(8680356).mp4 (60.9 MB)
📄 11 上午复习_(3356353).mp4 (237.8 MB)
📄 12 BiLSTM代码实现_(3779833).mp4 (109.6 MB)
📄 13 CRF代码实现1_(5325449).mp4 (131.2 MB)
📁 day05
📄 01 作业点评1_(2314179)【耗时整理‖免费分享 cunlove.cn】.mp4 (49.7 MB)
📄 02 作业点评2_(0999938).mp4 (95.1 MB)
📄 03 昨日复习_(9040710).mp4 (139.2 MB)
📄 04 全部路径分数代码实现_(1828110).mp4 (86.9 MB)
📄 05 课间答疑矩阵计算问题_(3406790).mp4 (17.9 MB)
📄 07 课间答疑预测函数问题_(3811715).mp4 (30.3 MB)
📄 08 预测函数代码实现_(7198969).mp4 (75.7 MB)
📄 09 上午复习_(6248193).mp4 (41.9 MB)
📄 10 NER模型代码实现_(6111430).mp4 (42.5 MB)
📄 11 数据预处理流程分析_(7821661).mp4 (70.0 MB)
📄 12 准备tokenizer字符_(1945068).mp4 (19.0 MB)
📄 13 处理原始数据集_(8468437).mp4 (38.3 MB)
📄 14 数据集转换成dataset_(0556323)【耗时整理‖免费分享 cunlove.cn】.mp4 (100.1 MB)
📄 15 模型训练流程分析_(2746966).mp4 (71.8 MB)
📄 16 main函数实现_(6504762)【耗时整理‖免费分享 cunlove.cn】.mp4 (51.8 MB)
📄 17 start_train函数实现_(6890088).mp4 (27.2 MB)
📄 18 pad_batch_inputs函数实现_(9671859).mp4 (77.1 MB)
📁 day06
📄 01 昨日复习_(8104149).mp4 (121.1 MB)
📄 02 模型评估代码分析_(7411301).mp4 (99.4 MB)
📄 03 模型评估代码实现1_(3268182).mp4 (143.7 MB)
📄 04 模型评估代码实现2_(1138482).mp4 (45.5 MB)
📄 05 模型使用代码分析_(9438563).mp4 (37.0 MB)
📄 06 模型使用代码实现_(6342919).mp4 (53.1 MB)
📄 07 NER模型小结_(0443215).mp4 (25.1 MB)
📄 08 上午复习_(9488106).mp4 (33.6 MB)
📄 09 在线部分准备工作-花生壳_(5399133)【耗时整理‖免费分享 cunlove.cn】.mp4 (33.1 MB)
📄 11 配置问题答疑_(5623955).mp4 (45.9 MB)
📄 12 werobot代码流程分析_(1011941).mp4 (40.6 MB)
📄 13 主要逻辑流程分析1_(1351049).mp4 (38.7 MB)
📄 14 主要逻辑流程分析2_(5750835).mp4 (60.9 MB)
📁 day07
📄 01 昨日复习_(4190714).mp4 (104.8 MB)
📄 02 句子主题相关模型介绍_(8548491).mp4 (55.2 MB)
📄 03 句子主题相关模型介绍2_(6943141).mp4 (74.5 MB)
📄 04 句子主题相关模型部署_(1368175).mp4 (65.2 MB)
📄 05 项目配置联调_(6103261).mp4 (121.4 MB)
📄 06 项目部署调试_(5485435).mp4 (103.8 MB)
📄 07 项目部署常见问题_(9747790).mp4 (195.7 MB)
📁 模型部署
📄 01-模型部署内容概述_(1250523).mp4 (11.1 MB)
📄 02-模型训练-数据集介绍_(5898757).mp4 (20.7 MB)
📄 03-模型训练-数据格式转换_(1516600)【耗时整理‖免费分享 cunlove.cn】.mp4 (64.2 MB)
📄 04-模型训练-邮件数据清洗_(6517510).mp4 (50.9 MB)
📄 05-模型训练-文本特征提取_(3277562).mp4 (61.2 MB)
📄 06-模型训练-邮件模型训练_(8534369).mp4 (16.5 MB)
📄 07-模型训练-邮件模型评估_(1496087).mp4 (76.9 MB)
📄 08-模型训练-邮件模型预测_(0939187).mp4 (40.1 MB)
📄 09-服务接口-Flask作用_(9314294)【耗时整理‖免费分享 cunlove.cn】.mp4 (26.8 MB)
📄 10-服务接口-Flask-Hello-World-1_(3796055).mp4 (31.9 MB)
📄 11-服务接口-Flask-Hello-World-2_(8121060)【耗时整理‖免费分享 cunlove.cn】.mp4 (34.2 MB)
📄 12-服务接口-创建表单_(9626275).mp4 (67.0 MB)
📄 13-服务接口-处理表单_(5842378).mp4 (31.7 MB)
📄 14-服务接口-表单扩展_(0160441).mp4 (37.1 MB)
📄 15-服务接口-服务封装_(5454438).mp4 (90.8 MB)
📄 16-容器部署-介绍安装_(4812390).mp4 (55.9 MB)
📄 17-容器部署-快速入门_(4622889).mp4 (79.7 MB)
📄 18-容器部署-镜像操作_(3063280).mp4 (49.7 MB)
📄 19-容器部署-容器操作_(4708301).mp4 (31.7 MB)
📄 20-容器部署-手动构建镜像_(3263228).mp4 (98.0 MB)
📄 21-容器部署-自动构建镜像_(2193961).mp4 (61.4 MB)
📄 22-模型部署回顾_(9326453).mp4 (31.8 MB)
📁 阶段9-算法初识
📄 01_算法面试简介_【耗时整理‖免费分享 cunlove.cn】.mp4 (17.4 MB)
📄 02_排序算法回顾_.mp4 (27.2 MB)
📄 03_数组问题_移动0_.mp4 (16.8 MB)
📄 04_数组问题_移除元素_【耗时整理‖免费分享 cunlove.cn】.mp4 (8.6 MB)
📄 05_数组问题_删除有序数组中的重复项_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.8 MB)
📄 06_数组问题_对撞指针_.mp4 (17.6 MB)
📄 07_数组问题_滑动窗口_.mp4 (8.9 MB)
📄 08_数组问题_滑动窗口小结_.mp4 (7.1 MB)
📄 09_字符串问题_双指针和滑动窗口_.mp4 (13.1 MB)
📄 10_字符串问题_借助字典解决问题_.mp4 (17.6 MB)
📄 11_字符串问题_字符顺序列表说明&ord_.mp4 (11.2 MB)
📄 12_查找问题_两个数组的交集_.mp4 (13.7 MB)
📄 13_查找问题_同构字符串_.mp4 (23.5 MB)
📄 14_查找问题_两数之和_.mp4 (4.1 MB)
📄 15_查找问题_存在重复元素_【耗时整理‖免费分享 cunlove.cn】.mp4 (25.2 MB)
📄 16_今日回顾_.mp4 (11.6 MB)
📄 17_链表概念介绍_.mp4 (18.1 MB)
📄 18_给链表添加常用方法_.mp4 (8.8 MB)
📄 19_链表相关问题_反转链表_.mp4 (9.5 MB)
📄 20_链表相关问题_2_.mp4 (12.1 MB)
📄 21_栈介绍&有效的括号_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.0 MB)
📄 22_栈问题_最小栈_.mp4 (4.2 MB)
📄 23_队列概念介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (5.8 MB)
📄 24_队列相关问题1_.mp4 (12.2 MB)
📄 25_队列问题_滑动窗口最大值_.mp4 (11.7 MB)
📄 26_链表栈队列小结_.mp4 (9.8 MB)
📄 27_递归_二叉树的遍历问题_.mp4 (21.7 MB)
📄 28_递归问题_树的最大深度和翻转二叉树_【耗时整理‖免费分享 cunlove.cn】.mp4 (6.9 MB)
📄 29_递归问题_路径总和_.mp4 (7.7 MB)
📄 30_递归问题_电话号码的字母组合_.mp4 (8.3 MB)
📄 31_回溯问题_数字全排列_.mp4 (14.3 MB)
📄 32_动态规划简介_.mp4 (13.2 MB)
📄 33_动态规划问题_.mp4 (17.1 MB)
📄 34_贪心问题_.mp4 (10.5 MB)
📄 35_下午内容小结_.mp4 (15.0 MB)
📁 阶段10-投满分项目V4
📁 day01
📄 01-项目背景和数据集介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (72.7 MB)
📄 02-数据集获取_.mp4 (32.9 MB)
📄 03-数据分布分析_.mp4 (20.4 MB)
📄 04-分词_.mp4 (29.5 MB)
📄 05-数据获取_.mp4 (23.4 MB)
📄 06-特征工程_.mp4 (23.6 MB)
📄 07-模型构建与训练_.mp4 (16.0 MB)
📄 08-fasttext数据处理_.mp4 (32.2 MB)
📄 09-fasttext数据集构建_.mp4 (36.4 MB)
📄 10-fasttext模型训练_.mp4 (15.6 MB)
📄 11-优化1-自动化参数搜索_.mp4 (24.7 MB)
📁 day02
📄 01-fasttext优化-分词_.mp4 (16.8 MB)
📄 02-模型训练_.mp4 (11.2 MB)
📄 03-模型部署_【耗时整理‖免费分享 cunlove.cn】.mp4 (59.5 MB)
📄 04-bert数据信息_.mp4 (44.3 MB)
📄 05-bert代码结构构建_.mp4 (10.5 MB)
📄 06-bert数据获取_.mp4 (144.3 MB)
📄 07-数据迭代_.mp4 (103.5 MB)
📄 08-时间差计算_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.1 MB)
📁 day03
📄 01-模型构建_.mp4 (199.7 KB)
📄 02-模型训练与评估思想_.mp4 (35.4 MB)
📄 03-模型训练与评估实现_.mp4 (79.0 MB)
📄 04-实现2_.mp4 (75.8 MB)
📄 05-模型预测_.mp4 (73.1 MB)
📄 06-模型部署_.mp4 (28.9 MB)
07-模型量化_.mp4 (32.7 MB)
day04
01-昨日回顾_.mp4 (37.7 MB)
02-模型蒸馏思想_.mp4 (51.6 MB)
03-模型蒸馏项目架构_.mp4 (13.4 MB)
04-词表构建_.mp4 (66.9 MB)
05-数据获取_.mp4 (91.3 MB)
06-数据获取实现_.mp4 (14.3 MB)
07-数据迭代实现_.mp4 (54.1 MB)
08-textCNN实践_.mp4 (86.9 MB)
day05
01-内容回顾_.mp4 (15.5 MB)
02-textCNN介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (55.0 MB)
03-数据对齐_.mp4 (30.2 MB)
04-损失计算_.mp4 (47.5 MB)
05-模型训练_.mp4 (62.0 MB)
06-训练流程_.mp4 (33.3 MB)
06-主函数_.mp4.mp4 (33.6 MB)
07-剪枝思想_.mp4 (11.8 MB)
08-特定层剪枝_【耗时整理‖免费分享 cunlove.cn】.mp4 (53.3 MB)
09-结构化剪枝_.mp4 (11.9 MB)
10-多层剪枝_.mp4 (33.5 MB)
11-全局剪枝_.mp4 (28.7 MB)
12-自定义剪枝_.mp4 (22.5 MB)
day06
01-面试问题和工作文问题_.mp4 (60.8 MB)
02-数据集构建方法_.mp4 (7.2 MB)
03-项目串讲_.mp4 (16.5 MB)
阶段11-红蜘蛛知识图谱项目
day01
day01_01_面试总结1_【耗时整理‖免费分享 cunlove.cn】.mp4 (87.7 MB)
day01_02_面试总结2_.mp4 (44.4 MB)
day01_03_红蜘蛛第1章_第1-2节_.mp4 (81.0 MB)
day01_04_第3小节_.mp4 (126.8 MB)
day01_05_第2章_2.2小节_.mp4 (48.7 MB)
day01_06_BERT源代码分析_.mp4 (68.2 MB)
day01_07_Albert模型解析_.mp4 (64.1 MB)
day01_08_RoBerta模型解析_【耗时整理‖免费分享 cunlove.cn】.mp4 (21.3 MB)
day01_09_MacBERT模型解析_.mp4 (25.2 MB)
day02
day02_01_NER问题解析_.mp4 (34.9 MB)
day02_02_IDCNN模型介绍_.mp4 (33.5 MB)
day02_03_工具类函数实现_.mp4 (67.4 MB)
day02_04_工具类代码实现_.mp4 (53.1 MB)
day02_05_IDCNN模型代码实现_.mp4 (32.4 MB)
day02_06_IDCNNCRF代码解析_.mp4 (34.5 MB)
day02_07_IDCNNCRF代码实现_.mp4 (55.1 MB)
day02_08_3.2小节FLAT模型介绍_.mp4 (41.0 MB)
day02_09_3.3小节规则派NER_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.5 MB)
day03
day03_01_XLNet模型详解1_.mp4 (27.3 MB)
day03_02_XLNet模型详解2_【耗时整理‖免费分享 cunlove.cn】.mp4 (40.8 MB)
day03_03_Electra模型详解_.mp4 (52.3 MB)
day03_04_FinBERT模型详解_【耗时整理‖免费分享 cunlove.cn】.mp4 (24.4 MB)
day03_05_K-BERT模型详解_.mp4 (54.6 MB)
day03_06_KG-BERT模型详解_.mp4 (23.4 MB)
day04
multi-head-selection模型详解1.mp4 (209.9 MB)
multi-head-selection模型详解2【耗时整理‖免费分享 cunlove.cn】.mp4 (298.0 MB)
multi-head-selection模型详解3.mp4 (171.7 MB)
事件抽取和schema解析.mp4 (106.7 MB)
训练模型讲解.mp4 (110.1 MB)
day05视频_课堂笔记
答案查询子任务代码分析与实现.mp4 (17.0 MB)
红蜘蛛上线实操.mp4 (44.1 MB)
课程回顾复习.mp4 (123.0 MB)
图数据库写入数据1.mp4 (145.1 MB)
图数据库写入数据2.mp4 (40.9 MB)
问题分类子任务代码分析与实现.mp4 (129.5 MB)
问题解析子任务代码分析与实现.mp4 (54.0 MB)
day06视频_课堂笔记
9.1小节功能优化V1.1数据写入解析.mp4 (43.7 MB)
概念图谱.mp4 (95.7 MB)
GPT2优化版本V1.2详解.mp4 (124.3 MB)
课程内容复习.mp4 (31.1 MB)
生成式模型优化V1.2版本详解.mp4 (55.1 MB)
意图识别模块优化升级.mp4 (25.0 MB)
意图识别模型优化.mp4 (82.7 MB)
知识图谱众包.mp4 (49.2 MB)
day07视频_课堂笔记
1-意图识别优化_数据端.mp4 (87.5 MB)
2-意图识别优化_V2.0-part1.mp4 (37.2 MB)
3-意图识别优化_V2.0-part2.mp4 (70.6 MB)
4-ONNXRUNTIME加速实现【耗时整理‖免费分享 cunlove.cn】.mp4 (122.4 MB)
5-经典知识补全.mp4 (39.8 MB)
6-错误知识发现与纠错介绍.mp4 (43.7 MB)
7-大厂商的一些预训练模型介绍.mp4 (71.4 MB)
day08
1-大厂主流预训练模型介绍.mp4 (49.0 MB)
2-基础知识复习.mp4 (62.1 MB)
3-红蜘蛛课程回顾1.mp4 (59.5 MB)
4-红蜘蛛课程回顾2.mp4 (49.4 MB)
5-NER模型重点复习.mp4 (70.0 MB)
6-RE模型重点复习【耗时整理‖免费分享 cunlove.cn】.mp4 (81.6 MB)
7-在线部分子功能模块复习.mp4 (153.0 MB)
8-优化功能总结.mp4 (55.7 MB)
9-基础知识复习.mp4 (150.4 MB)
10-面试题总结1.mp4 (213.8 MB)
11-面试题总结2【耗时整理‖免费分享 cunlove.cn】.mp4 (193.5 MB)
阶段12-CHAT_GPT与大模型
day01
01-大模型整体课程介绍_.mp4 (42.5 MB)
02-大模型背景基础知识_【耗时整理‖免费分享 cunlove.cn】.mp4 (32.9 MB)
03-语言模型介绍_.mp4 (25.1 MB)
04-N-Gram语言模型介绍_.mp4 (52.2 MB)
05-神经网络语言模型_.mp4 (25.6 MB)
06-基于transformer的预训练语言模型_.mp4 (25.6 MB)
07-大语言模型的介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (17.6 MB)
08-BlEU指标计算_.mp4 (119.7 MB)
10-PPL困惑度计算_.mp4 (59.0 MB)
11-LLM架构类型_.mp4 (19.9 MB)
12-BERT模型的架构介绍_.mp4 (40.9 MB)
13-BERT模型特点_.mp4 (21.3 MB)
14-GPT模型讲解_.mp4 (75.7 MB)
15-T5模型讲解_【耗时整理‖免费分享 cunlove.cn】.mp4 (43.3 MB)
16-大模型Decoder-only的原因_.mp4 (19.4 MB)
day02
01-昨日内容复习_.mp4 (70.6 MB)
02-ChatGPT基本介绍_.mp4 (17.7 MB)
03-GPT2模型介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (83.1 MB)
04-GPT3模型介绍_.mp4 (85.3 MB)
05-理解强化学习思想_.mp4 (54.7 MB)
06-ChatGPT原理学习_.mp4 (70.9 MB)
07-GLM架构思想_.mp4 (67.8 MB)
08-ChatGLM-6B讲解_.mp4 (49.5 MB)
09-LLaMA模型讲解_.mp4 (74.3 MB)
10-BLOOM大模型_【耗时整理‖免费分享 cunlove.cn】.mp4 (36.8 MB)
11-Fine-Tuning思想回顾_.mp4 (31.7 MB)
12-Prompt-Tuning介绍_.mp4 (89.0 MB)
13-百度千帆大模型应用平台注册使用_.mp4 (48.5 MB)
day03
01-昨日内容回顾_.mp4 (156.2 MB)
02-引入Prompt-Tuning思想_.mp4 (30.0 MB)
03-GPT3提出Prompt前身思想_.mp4 (51.5 MB)
04-PET模型思想介绍_.mp4 (43.8 MB)
05-Prompt-Oriented-Fine-Tuning_.mp4 (41.5 MB)
06-Hard-Prompt-VS-Soft-Prompt_【耗时整理‖免费分享 cunlove.cn】.mp4 (58.1 MB)
07-Prompt_tuning论文思想引入_.mp4 (37.1 MB)
08-P-tuning的思想_.mp4 (32.5 MB)
09-PPT-模型思想_.mp4 (31.2 MB)
10-Instruction-Tuning思想_.mp4 (103.3 MB)
11-COT思想_.mp4 (43.1 MB)
12-Prefix-Tuning_.mp4 (79.4 MB)
13-Adapter_Tuning思想_.mp4 (17.9 MB)
14-Lora的思想_.mp4 (33.0 MB)
16-LLMs组件应用_【耗时整理‖免费分享 cunlove.cn】.mp4 (76.3 MB)
17-不同模型选择LangChain_.mp4 (12.8 MB)
day04
01-ChatModels的应用_.mp4 (73.5 MB)
📄 02-ChatPrompt应用_.mp4 (44.7 MB)
📄 03-Embedding模型_.mp4 (41.9 MB)
📄 04-Prompt提示-zero-shot模版构建_.mp4 (44.3 MB)
📄 05-Prompt提示-few-shot模版构建_【耗时整理‖免费分享 cunlove.cn】.mp4 (49.4 MB)
📄 06-Chain工具的应用_.mp4 (15.7 MB)
📄 07-Sequential_Chain的应用_.mp4 (50.5 MB)
📄 08-Agent代理_.mp4 (109.5 MB)
📄 09-Memory_.mp4 (55.7 MB)
📄 10-message_dict的使用_.mp4 (30.1 MB)
📄 11-文档加载器的使用_.mp4 (45.1 MB)
📄 12-文档分割_.mp4 (54.5 MB)
📄 13-向量数据库_.mp4 (62.0 MB)
📄 14-文档检索器_.mp4 (31.1 MB)
📄 15-第三章内容总结_.mp4 (45.7 MB)
📄 16-BERT-PET方法文本分类介绍_(已加密).mp4 (66.7 MB)
📁 阶段13-计算机视觉
📁 此部分为赠送教程-CV
📁 Opencv视频教程
📁 00 如果没有声音或者卡顿，下载到电脑看即可.txt
⚠️ 无法获取目录内容或目录为空
📁 01 OpenCV图像处理视频课程（课件+源码）
📄 01-概述 – OpenCV介绍与环境搭建.ts (120.8 MB)
📄 02-加载、修改、保存图像.ts (97.1 MB)
📄 03-矩阵的掩膜操作.ts (151.6 MB)
📄 04-Mat对象.ts (144.2 MB)
📄 05-图像操作.ts (107.2 MB)
📄 06-图像混合.ts (83.7 MB)
📄 07-调整图像亮度与对比度.ts (114.0 MB)
📄 08-绘制形状与文字.ts (170.7 MB)
📄 09-模糊图像一.ts (119.8 MB)
📄 10-图像模糊二.ts (143.4 MB)
📄 11-膨胀与腐蚀.ts (118.5 MB)
📄 12-形态学操作.ts (106.5 MB)
📄 13-形态学操作应用-提取水平与垂直线.ts (139.9 MB)
📄 14-图像金字塔-上采样与降采样.ts (121.7 MB)
📄 15-基本阈值操作.ts (137.9 MB)
📄 16-自定义线性滤波.ts (152.8 MB)
📄 17-处理边缘.ts (101.2 MB)
📄 18-Sobel算子.ts (177.0 MB)
📄 19-Laplance算子.ts (64.1 MB)
📄 20-Canny边缘检测.ts (140.3 MB)
📄 21-霍夫变换-直线.ts (113.0 MB)
📄 22-霍夫圆变换.ts (101.9 MB)
📄 23-像素重映射(cv__remap).ts (126.5 MB)
📄 24-直方图均衡化【耗时整理‖免费分享 cunlove.cn】.ts (83.0 MB)
📄 25-直方图计算【耗时整理‖免费分享 cunlove.cn】.ts (118.2 MB)
📄 26-直方图比较.ts (159.7 MB)
📄 27-直方图反向投影(Back Projection).ts (177.2 MB)
📄 28-模板匹配(Template Match).ts (157.3 MB)
📄 29-轮廓发现.ts (134.1 MB)
📄 30-凸包-Convex Hull.ts (140.7 MB)
📄 31-轮廓周围绘制矩形框和圆形框【耗时整理‖免费分享 cunlove.cn】.ts (146.4 MB)
📄 32-图像矩(Image Moments).ts (158.4 MB)
📄 33-点多边形测试.ts (124.2 MB)
📄 34-基于距离变换与分水岭的图像分割-01【耗时整理‖免费分享 cunlove.cn】.ts (169.6 MB)
📄 35-基于距离变换与分水岭的图像分割-02.ts (115.8 MB)
📄 课程配套PPT.zip (32.7 MB)
📄 课程配套源代码.zip (5.8 MB)
📁 02 OpenCV特征提取与检测实战视频课程（课件+源码）
📄 01-概述.ts (30.0 MB)
📄 02-OpenCV3.1.0编译【耗时整理‖免费分享 cunlove.cn】.ts (120.2 MB)
📄 03-Harris角点检测-01【耗时整理‖免费分享 cunlove.cn】.ts (84.5 MB)
📄 04-Harris角点检测-02.ts (89.0 MB)
📄 05-Shi-Tomasi角点检测【耗时整理‖免费分享 cunlove.cn】.ts (130.4 MB)
📄 06-自定义角点检测器-01.ts (129.0 MB)
📄 07-自定义角点检测器-02.ts (87.5 MB)
📄 08-亚像素级别角点检测.ts (118.1 MB)
📄 09-SURF特征检测-01.ts (83.2 MB)
📄 10-SURF特征检测-02.ts (79.3 MB)
📄 11-SIFT特征检测-01【耗时整理‖免费分享 cunlove.cn】.ts (104.1 MB)
📄 12-SIFT特征检测-02【耗时整理‖免费分享 cunlove.cn】.ts (61.0 MB)
📄 13-HOG特征检测-01.ts (71.9 MB)
📄 14-HOG特征检测-02.ts (97.2 MB)
📄 15-LBP(Local Binary Patterns)特征-01.ts (75.5 MB)
📄 16-LBP(Local Binary Patterns)特征-02.ts (71.3 MB)
📄 17-LBP(Local Binary Patterns)特征-03.ts (150.9 MB)
📄 18-积分图计算.ts (68.9 MB)
📄 19-Haar特征.ts (63.6 MB)
📄 20-特征描述子.ts (71.9 MB)
📄 21-FLANN特征匹配.ts (93.9 MB)
📄 22-平面对象识别.ts (129.2 MB)
📄 23-AKAZE局部匹配-01【耗时整理‖免费分享 cunlove.cn】.ts (84.3 MB)
📄 24-AKAZE局部匹配-02.ts (108.5 MB)
📄 25-Brisk特征检测与匹配.ts (102.8 MB)
📄 26-级联分类器 – 人脸检测【耗时整理‖免费分享 cunlove.cn】.ts (103.2 MB)
📄 课程配套PDF.zip (11.3 MB)
📄 课程配套源代码.zip (13.5 KB)
📁 03 OpenCV图像处理-小案例实战（课件+源码）
📄 01-概述.ts (35.4 MB)
📄 02-案例一切边-01.ts (83.5 MB)
📄 03-案例一切边-02.ts (86.6 MB)
📄 04-案例一切边-03.ts (125.4 MB)
📄 05-案例二直线检测-01【耗时整理‖免费分享 cunlove.cn】.ts (108.2 MB)
📄 06-案例二直线检测-02.ts (104.5 MB)
📄 07-案例三对象提取-01.ts (97.7 MB)
📄 08-案例三对象提取-02【耗时整理‖免费分享 cunlove.cn】.ts (146.3 MB)
📄 09-案例四对象计数-01.ts (106.7 MB)
📄 10-案例四对象计数-02.ts (118.1 MB)
📄 11-案例五透视校正-01.ts (125.5 MB)
📄 12-案例五透视校正-02【耗时整理‖免费分享 cunlove.cn】.ts (104.1 MB)
📄 13-案例五透视校正-03.ts (139.2 MB)
📄 14-案例五透视校正-04.ts (81.2 MB)
📄 15-案例六对象提取与测量.ts (130.0 MB)
📄 课程配套PDF.zip (4.0 MB)
📄 课程配套源代码.zip (7.5 KB)
📁 04 OpenCV级联分类器训练与使用实战教程课程（课件+源码）
📄 01-概述.ts (31.2 MB)
📄 02-Haar与LBP级联分类器原理介绍-01.ts (128.7 MB)
📄 03-Haar与LBP级联分类器原理介绍-02.ts (105.5 MB)
📄 04-Haar与LBP级联分类器使用-01【耗时整理‖免费分享 cunlove.cn】.ts (154.8 MB)
📄 05-Haar与LBP级联分类器使用-02.ts (73.5 MB)
📄 06-HAAR猫脸检测.ts (124.1 MB)
📄 07-视频中人脸检测与眼睛跟踪-01.ts (157.9 MB)
📄 08-视频中人脸检测与眼睛跟踪-02.ts (118.8 MB)
📄 09-视频中人脸检测与眼睛跟踪-03.ts (115.7 MB)
📄 10-HAAR级联数据文件结构与精简.ts (118.5 MB)
📄 11-HAAR_LBP级联分类器训练-01【耗时整理‖免费分享 cunlove.cn】.ts (142.5 MB)
📄 12-HAAR_LBP级联分类器训练-02.ts (98.6 MB)
📄 13-HAAR_LBP级联分类器训练-03.ts (120.1 MB)
📄 课程配套PDF.zip (3.2 MB)
📄 课程配套源代码【耗时整理‖免费分享 cunlove.cn】.zip (40.3 MB)
📁 05 OpenCV图像分割实战视频教程（课件+源码）
📄 01-概述.ts (41.2 MB)
📄 02-KMeans方法-原理.ts (78.8 MB)
📄 03-KMeans方法-数据聚类【耗时整理‖免费分享 cunlove.cn】.ts (80.9 MB)
📄 04-KMeans方法-图像分割.ts (99.6 MB)
📄 05-高斯混合模型(GMM)方法-原理与数据聚类.ts (139.0 MB)
📄 06-高斯混合模型(GMM)方法-图像分割.ts (130.8 MB)
📄 07-分水岭分割方法-原理.ts (82.9 MB)
📄 08-分水岭分割方法-对象分离与计数01.ts (131.7 MB)
📄 09-分水岭分割方法-对象分离与计数02.ts (110.4 MB)
📄 10-分水岭分割方法-图像分割.ts (120.7 MB)
📄 11-Grabcut原理与演示应用-原理.ts (110.5 MB)
📄 12-Grabcut原理与演示应用-代码演示.ts (113.8 MB)
📄 13-案例实战一证件照背景替换-01.ts (72.3 MB)
📄 14-案例实战一证件照背景替换.ts (124.5 MB)
📄 15-案例实战一绿幕背景视频抠图-01.ts (97.8 MB)
📄 16-案例实战一绿幕背景视频抠图.ts (94.7 MB)
📄 课程配套代码与图片.zip (10.6 MB)
📄 课程配套PDF.zip (3.0 MB)
📁 06 OpenCV视频分析与对象跟踪实战教程（课件+源码）
📄 01-概述【耗时整理‖免费分享 cunlove.cn】.ts (113.8 MB)
📄 02-视频读写-01.ts (61.4 MB)
📄 03-视频读写-02.ts (111.9 MB)
📄 04-背景消除建模(BSM)-01.ts (84.9 MB)
📄 05-背景消除建模(BSM)-02.ts (99.7 MB)
📄 06-对象检测与跟踪(基于颜色)-01.ts (88.8 MB)
📄 07-对象检测与跟踪(基于颜色)-02【耗时整理‖免费分享 cunlove.cn】.ts (79.0 MB)
📄 08-光流的对象跟踪-01.ts (134.7 MB)
📄 09-光流的对象跟踪-02.ts (58.5 MB)
📄 10-光流的对象跟踪-03.ts (137.6 MB)
📄 11-光流的对象跟踪-04【耗时整理‖免费分享 cunlove.cn】.ts (115.8 MB)
📄 12-CAMShift对象跟踪【耗时整理‖免费分享 cunlove.cn】.ts (112.9 MB)
📄 13-CAMShift对象跟踪-02【耗时整理‖免费分享 cunlove.cn】.ts (62.8 MB)
📄 14-CAMShift对象跟踪-03【耗时整理‖免费分享 cunlove.cn】.ts (123.4 MB)
📄 15-CAMShift对象跟踪-04.ts (143.9 MB)
📄 16-视频中移动对象统计.ts (139.0 MB)
📄 17-扩展模块中的跟踪方法介绍.ts (77.5 MB)
📄 18-扩展模块中的多对象跟踪.ts (93.3 MB)
📄 课程配套课件.zip (10.9 MB)
📄 课程配套源代码.zip (55.0 MB)
📁 07 OpenCV3.3深度神经网络(DNN)模块-应用视频教程（课件+源码）
📄 01-DNN模块概述.ts (92.4 MB)
📄 02-使用GoogleNet模型实现图像分类-01.ts (117.6 MB)
📄 03-使用GoogleNet模型实现图像分类-02.ts (95.1 MB)
📄 04-使用SSD模型实现对象检测-01.ts (124.5 MB)
📄 05-使用SSD模型实现对象检测-02.ts (140.4 MB)
📄 06-MobileNet模型实时对象检测.ts (110.1 MB)
📄 07-FCN模型实现图像分割-01.ts (102.9 MB)
📄 08-FCN模型图像分割-02.ts (100.2 MB)
📄 09-CNN模型预测性别与年龄【耗时整理‖免费分享 cunlove.cn】.ts (146.8 MB)
📄 10-GOTURN模型实现视频对象跟踪.ts (142.5 MB)
📄 课程配套PDF.zip (2.2 MB)
📄 课程配套源代码.zip (20.4 MB)
📁 08 人工智能之OpenCV人脸识别案例实战视频教程（课件+源码）
📄 01-概述与环境准备.ts (47.7 MB)
📄 02-均值方差与协方差协方差矩阵.ts (121.9 MB)
📄 03-特征值与特征向量.ts (90.7 MB)
📄 04-PCA原理与应用-01.ts (105.1 MB)
📄 05-PCA原理与应用-02.ts (161.1 MB)
📄 06-人脸识别算法之EigenFace-01.ts (137.7 MB)
📄 07-人脸识别算法之EigenFace-02.ts (134.8 MB)
📄 08-人脸识别算法之FisherFace.ts (100.2 MB)
📄 09-人脸识别算法之LBPH.ts (92.3 MB)
📄 10-案例-实时人脸识别应用开发-01.ts (120.6 MB)
📄 11-案例-实时人脸识别应用开发-02.ts (136.4 MB)
📄 课程配套PDF.zip (2.5 MB)
📄 课程配套源代码【耗时整理‖免费分享 cunlove.cn】.zip (3.6 MB)
📁 09 14个常用OpenCV+C++图像处理
📄 14个常用OpenCV+C++图像处理【耗时整理‖免费分享 cunlove.cn】.zip (301.5 MB)
📁 10 OpenCV计算机视觉实战(Python版)（课件+源码）
📄 01、课程简介.mp4 (43.0 MB)
📄 02、图像基本操作.mp4 (61.1 MB)
📄 03、阈值与平滑处理【耗时整理‖免费分享 cunlove.cn】.mp4 (32.7 MB)
📄 04、图像形态学处理.mp4 (27.0 MB)
📄 05、图像梯度处理.mp4 (35.9 MB)
📄 06、边缘检测【耗时整理‖免费分享 cunlove.cn】.mp4 (29.1 MB)
📄 07、图像金字塔与轮廓检测.mp4 (86.1 MB)
📄 08、直方图与傅里叶变换.mp4 (73.2 MB)
📄 09、项目实战-信用卡数字识别【耗时整理‖免费分享 cunlove.cn】.mp4 (66.4 MB)
📄 10、项目实战-文档扫描OCR识别.mp4 (76.2 MB)
📄 11、图像特征-harris.mp4 (65.9 MB)
📄 12、图像特征-sift.mp4 (81.3 MB)
📄 13、案例实战-全景图像拼接.mp4 (52.6 MB)
📄 14、项目实战-停车场车位识别.mp4 (290.1 MB)
📄 15、项目实战-答题卡识别判卷.mp4 (61.5 MB)
📄 16、背景建模.mp4 (52.1 MB)
📄 17、光流估计.mp4 (53.5 MB)
📄 18、Opencv的DNN模块【耗时整理‖免费分享 cunlove.cn】.mp4 (28.0 MB)
📄 19、项目实战-目标追踪【耗时整理‖免费分享 cunlove.cn】.mp4 (117.7 MB)
📄 20、卷积原理与操作.mp4 (121.3 MB)
📄 21、项目实战-疲劳检测.mp4 (87.6 MB)
📄 资料.zip (549.2 MB)
📁 11 OpenCV & FFmpeg & Qt C++视频编辑器实战开发
📁 01 介绍
📄 001 介绍~1.mp4 (22.0 MB)
📄 002 opencv源码在windows下载编译安装~1【耗时整理‖免费分享 cunlove.cn】.mp4 (10.9 MB)
📄 003 Ubuntu下编译opencv源码~1.mp4 (14.8 MB)
📄 004 windows 上创建opencv示例项目编译并执行~1.mp4 (16.2 MB)
📄 005 ubuntu上创建opencv示例项目makefile编译并执行~1【耗时整理‖免费分享 cunlove.cn】.mp4 (8.9 MB)
📄 006 windows 上创建opencv示例项目编译并执行~1.mp4 (17.4 MB)
📁 attached_files
📁 002 opencv源码在windows下载编译安装
📄 opencv3.2Linux.txt.zip (1023.0 B)
📁 006 windows 上创建opencv示例项目编译并执行
📄 01-windows-linux-1.zip (47.2 MB)
📁 02 OpenCV核心类型 Mat
📄 007 OpenCV Mat类型分析源码介绍空间创建和释放~1.mp4 (13.3 MB)
📄 008 遍历和修改连续的OpenCV Mat图像空间~1.mp4 (14.5 MB)
📄 009 使用opencv接口实现运行记时函数用来分析执行效率~1.mp4 (11.9 MB)
📄 010 遍历不连续的OpenCV Mat空间~1.mp4 (8.1 MB)
011 通过OpenCV ptr模板函数遍历Mat并测试其性能~1.mp4 (11.6 MB)
012 通过OpenCV at函数遍历Mat并捕获异常~1【耗时整理‖免费分享 cunlove.cn】.mp4 (11.7 MB)
013 通过迭代器遍历Mat并总结遍历方法~1.mp4 (7.5 MB)
014 QT自定义opengl的Widget绘制Mat~1.mp4 (27.7 MB)
attached_files
007 OpenCV Mat类型分析源码介绍空间创建和释放
-src-1.zip (9.7 MB)
03 OpenCV图像处理
015 通过ROI感兴趣区域来裁剪图像~1.mp4 (9.8 MB)
016 RGBYUVGRAY像素格式介绍opencv像素格式转换cvtColor接口讲解~1.mp4 (7.3 MB)
017 手动实现转换灰度图并与opencv提供的函数做性能对比~1.mp4 (23.0 MB)
018 通过OpenCV阈值函数threshold实现图像的二值化~1.mp4 (12.9 MB)
019 通过对Mat遍历修改图像亮度和对比度与convertTo性能对比~1.mp4 (22.1 MB)
020 图像尺寸调整算法介绍并手动实现近邻算法~1.mp4 (10.9 MB)
021 调用opencv的resize使用近邻算法并与自定义算法比较~1.mp4 (21.1 MB)
022 图像尺寸调整双线程插值算法讲解和性能测试~1.mp4 (16.0 MB)
023 高斯金字塔和拉普拉斯金字塔调整图像尺寸详解~1.mp4 (15.7 MB)
024 实现两幅图像混合blending~1【耗时整理‖免费分享 cunlove.cn】.mp4 (11.1 MB)
025 图像旋转和镜像~1.mp4 (8.7 MB)
026 通过ROI实现图像并排合并~1.mp4 (20.6 MB)
04 FFMpeg工具处理音频
027 使用ffmpeg工具实现音频抽取剪切和与视频合并~1.mp4 (17.3 MB)
05 OpenCV视频IO接口
028 OpenCV VideoCapture打开摄像头接口讲解和源码分析~1.mp4 (10.1 MB)
029 OpenCV VideoCapture打开视频流接口讲解和源码分析~1.mp4 (12.2 MB)
030 VideoCapture release关闭和空间释放源码分析~1.mp4 (5.6 MB)
031 OpenCV read读取一帧视频接口讲解和源码分析~1.mp4 (12.3 MB)
032 使用OpenCV VideoCapture播放视频示例~1.mp4 (18.9 MB)
033 获取视频和相机的属性并分析获取视频属性的源码~1.mp4 (19.3 MB)
034 使用opencv实现视频播放位置跳转~1.mp4 (14.0 MB)
035 通过VideoWrite的open创建视频文件并分析源码~1.mp4 (25.5 MB)
036 通过VideoWrite的write写入视频文件并分析源码~1.mp4 (14.7 MB)
037 以h264格式录制并预览摄像机视频代码演示~1【耗时整理‖免费分享 cunlove.cn】.mp4 (19.0 MB)
06 XVideoEdit视频编辑器实战
038 编辑器的需求分析和最终实现的功能介绍~1【耗时整理‖免费分享 cunlove.cn】.mp4 (18.7 MB)
039 项目类图介绍和类功能讲解~1.mp4 (6.8 MB)
040 基于QT系统界面设计详解~1.mp4 (6.8 MB)
041 实战项目环境搭建项目创建和配置~1.mp4 (13.4 MB)
042 完成视频编辑器播放界面并完成绘制视频widget重载~1.mp4 (20.0 MB)
043 详解通过qss完成界面风格设置设置按钮圆角和渐变颜色~1.mp4 (8.8 MB)
044 通过qt界面打开外部视频并完成打开失败的界面提示~1.mp4 (33.0 MB)
045 使用opencv读取并解码视频通过信号槽机制发出绘制信号~1.mp4 (20.5 MB)
046 解码并使用播放视频分析并解决QImage图像数据不连续问题~1.mp4 (48.6 MB)
047 视频播放器进度条QSlider显示播放进度~1.mp4 (25.8 MB)
048 通过QSlider滑动条拖动完成视频播放位置跳转~1.mp4 (29.2 MB)
049 调整视频亮度对比度1完成XImagePro类~1.mp4 (19.5 MB)
050 调整视频亮度对比度2完成XFilter类~1.mp4 (23.2 MB)
051 调整视频亮度对比度3完成界视频结果显示~1【耗时整理‖免费分享 cunlove.cn】.mp4 (36.7 MB)
052 视频的导出1接口调用搭建和界面实现完成~1【耗时整理‖免费分享 cunlove.cn】.mp4 (26.9 MB)
053 视频导出2功能实现~1_吾爱程序猿论坛用户分享.mp4 (44.0 MB)
054 完成播放暂停并使用qss设置播放暂停按钮样式效果~1.mp4 (28.3 MB)
055 视频图像旋转并导出~1_吾爱程序猿论坛用户分享【耗时整理‖免费分享 cunlove.cn】.mp4 (29.9 MB)
056 视频上下左右镜像~1_吾爱程序猿论坛用户分享【耗时整理‖免费分享 cunlove.cn】.mp4 (13.8 MB)
057 调整视频尺寸并导出~1.mp4 (23.8 MB)
058 通过图像金字塔调整视频尺寸~1.mp4 (33.1 MB)
059 通过ROI裁剪视频画面~1.mp4 (35.3 MB)
060 转换为灰度图视频并导出~1.mp4 (39.0 MB)
061 视频添加水印~1_吾爱程序猿论坛用户分享.mp4 (49.1 MB)
062 视频融合1-完成了打开第二个视频源~1.mp4 (30.6 MB)
063 视频融合2-完成了融合和导出~1【耗时整理‖免费分享 cunlove.cn】.mp4 (34.2 MB)
064 两路视频的横向合并为一个视频~1.mp4 (39.7 MB)
065 音频类的抽取接口开发和测试~1.mp4 (22.4 MB)
066 完成视频中音频的的合并导出~1【耗时整理‖免费分享 cunlove.cn】.mp4 (33.5 MB)
067 完成了视频的开始结束位置剪辑音频未处理~1【耗时整理‖免费分享 cunlove.cn】.mp4 (41.9 MB)
068 完成了视频剪辑包含音频剪辑~1.mp4 (29.6 MB)
attached_files
042 完成视频编辑器播放界面并完成绘制视频widget重载
1XVideoEdit【耗时整理‖免费分享 cunlove.cn】.zip (11.2 KB)
048 通过QSlider滑动条拖动完成视频播放位置跳转
2XVideoEdit.zip (12.3 KB)
051 调整视频亮度对比度3完成界视频结果显示
3XVideoEdit.zip (15.2 KB)
052 视频的导出1接口调用搭建和界面实现完成
4XVideoEdit.zip (15.2 KB)
055 视频图像旋转并导出
5XVideoEdit.zip (81.2 KB)
056 视频上下左右镜像
6XVideoEdit.zip (44.0 KB)
058 通过图像金字塔调整视频尺寸
7XVideoEdit.zip (44.6 KB)
059 通过ROI裁剪视频画面
8XVideoEdit.zip (82.9 KB)
060 转换为灰度图视频并导出
9XVideoEdit.zip (44.8 KB)
061 视频添加水印
10XVideoEdit.zip (45.2 KB)
062 视频融合1-完成了打开第二个视频源
11XVideoEdit-blend.zip (45.7 KB)
064 两路视频的横向合并为一个视频
12XVideoEdit.zip (104.8 KB)
065 音频类的抽取接口开发和测试
13XVideoEdit.zip (66.7 KB)
068 完成了视频剪辑包含音频剪辑
14XVideoEdit-Linux.zip (19.0 KB)
12 深度学习CNN RNN等框架
第1课机器学习中数学基础
五月班第一次课件：机器学习中数学基础 (1).pdf (1.3 MB)
第1课机器学习中数学基础.avi (609.4 MB)
第2课高效计算基础与图像线性分类器
5月班第2课课件：高效计算基础与图像线性分类器.pdf (32.9 MB)
第2课高效计算基础与图像线性分类器.avi (677.9 MB)
image linear classification.zip (163.6 MB)
numpy_operations.ipynb (207.4 KB)
第3课梯度下降法与反向传播
5月班第3课课件：梯度下降法与反向传播 (1).pdf (1.1 MB)
第3课梯度下降法与反向传播【耗时整理‖免费分享 cunlove.cn】.avi (438.7 MB)
第4课 CNN与常用框架
5月深度学习班第4课–CNN，典型网络结构与常用框架.pdf (7.0 MB)
第4课 CNN与常用框架.avi (650.8 MB)
第5课 CNN训练注意事项与框架使用
5月班第5次课 – caffe TensorFlow使用与CNN训练注意事项【耗时整理‖免费分享 cunlove.cn】.pdf (17.5 MB)
第5课 CNN训练注意事项与框架使用.avi (743.3 MB)
第6课 CNN推展案例
5月班第6次课 – CNN扩展图像识别与定位物体检测 NeuralStyle.pdf (48.3 MB)
第6课 CNN推展案例.avi (662.6 MB)
第7课 RNN介绍
5月班第7课课件_rnn_intrduction.pdf (8.5 MB)
第7课 RNN介绍【耗时整理‖免费分享 cunlove.cn】.avi (362.9 MB)
第8课 RNN应用
5月班第8课_rnn_appliacation.pdf (22.5 MB)
第8课 RNN应用.avi (531.1 MB)
第9课更多的网络类型
5月班第9次课课件_more_about_nn【耗时整理‖免费分享 cunlove.cn】.pdf (4.2 MB)
第9课更多的网络类型【耗时整理‖免费分享 cunlove.cn】.avi (483.7 MB)
第10课更多框架
5月班第10课_framework.pdf (22.0 MB)
第10课更多框架.avi (429.4 MB)
13 附赠1：Opencv资料
[数字图像处理与机器视觉：Visual.C++.与Matlab实现].张铮.扫描版.pdf (50.6 MB)
A_Computational_Approach_to_Edge_Detection-sz4【耗时整理‖免费分享 cunlove.cn】.pdf (6.3 MB)
Computer and Machine Vision Theory Algorithms Practicalities.pdf (22.2 MB)
机器视觉-张广军.pdf (48.8 MB)
机器视觉测量技术.pdf (2.8 MB)
机器视觉算法与应用.pdf (109.2 MB)
计算机视觉——算法与应用.pdf.pdf (48.4 MB)
计算机视觉（马颂德、张正友）.pdf (13.6 MB)
计算机视觉：算法与应用(Richard Szeliski-2010).pdf (22.1 MB)
基于OpenCV的计算机视觉技术实现.pdf (186.1 MB)
Learning OpenCV 2nd Early Release.pdf (10.9 MB)
Mastering OpenCV with Practical Computer Vision Projects [eBook].pdf (6.3 MB)
OpenCV.2.Computer.Vision.Application.Programming.Cookbook.pdf (6.8 MB)
OpenCV2ComputerVisionApplicationProgrammingCookbookCode.zip (116.7 KB)
opencv2计算机视觉编程手册( 扫描版1-35页).pdf (68.3 MB)
opencv2手册第五章.pdf (51.7 MB)
OpenCV的计算机视觉技术实现.rar (13.6 MB)
OpenCV教程基础篇-于仕琪-北航.pdf (23.8 MB)
opencv手册.chm (2.6 MB)
视觉计算理论.pdf (21.3 MB)
数字图像处理与机器视觉――Visual C++与Matlab….iso (78.3 MB)
图像处理分析与机器视觉(第二版)中译.pdf (41.0 MB)
图像处理技术手册.pdf (145.1 MB)
图像处理与计算机视觉算法及应用原书第2版 [（美）帕科尔著][清华大学出版社][2012.05][388页]sample.pdf (6.2 MB)
图像处理、分析与机器视觉（第三版）.pdf (76.5 MB)
图像处理、分析与机器视觉（第三版）英文版.pdf (28.0 MB)
学习OpenCV 中文版.pdf (58.8 MB)
学习opencv书——源代码.zip (20.2 MB)
14 附赠2：赠送不同环境下安装不同版本的opencv
5分钟配置好OpenCV3.2+VS2015开发环境.flv (20.1 MB)
visual_studio_community_2017_version_15.3.exe (1.0 MB)
win 系统 Visual Studio 2017安装及使用教程.flv (38.5 MB)
win+OpenCV 4.0+Python3.6开发环境搭建.flv (113.7 MB)
win+opencv3.3+VS2017环境配置指导.flv (194.0 MB)
15 工具箱
3.4
opencv-3.4.1-vc14_vc15.exe (171.9 MB)
4.0
opencv4.0.0.zip (86.8 MB)
opencv_contrib-4.0.0.zip (58.6 MB)
OpenCV下载地址.txt (199.0 B)
vs2015.com_chs.iso (3.7 GB)
《OpenCV3编程入门》书本配套源代码
OpenCV3编程入门.pdf (82.3 MB)
【OpenCV3版】《OpenCV3编程入门》书本配套源代码【耗时整理‖免费分享 cunlove.cn】.rar (24.3 MB)
阶段14-亿图人脸支付项目
01-人脸检测
01.内容回顾_.mp4 (26.8 MB)
02.视频读写_.mp4 (62.2 MB)
03.人脸检测概述_【耗时整理‖免费分享 cunlove.cn】.mp4 (47.1 MB)
04.验证数据集_.mp4 (87.1 MB)
05.数据集获取_.mp4 (73.1 MB)
06.模型构建_.mp4 (144.7 MB)
07.参数配置_.mp4 (54.6 MB)
08.训练策略_【耗时整理‖免费分享 cunlove.cn】.mp4 (31.2 MB)
09.训练流程_.mp4 (85.5 MB)
10.模型训练_.mp4 (36.4 MB)
11.内容总结_【耗时整理‖免费分享 cunlove.cn】.mp4 (13.5 MB)
02-人脸姿态
01.内容回顾_.mp4 (35.0 MB)
02.模型训练结果_.mp4 (39.3 MB)
03.模型预测_.mp4 (38.2 MB)
04.模型预测流程_.mp4 (120.8 MB)
05.人脸姿态概述_.mp4 (55.7 MB)
06.数据集加载_.mp4 (47.7 MB)
07.数据增强_.mp4 (147.1 MB)
08.模型构建_.mp4 (95.0 MB)
09.模型训练_【耗时整理‖免费分享 cunlove.cn】.mp4 (93.8 MB)
10. 内容总结_.mp4 (11.3 MB)
03-人脸多任务
01.内容回顾_.mp4 (17.0 MB)
02.人脸多任务_【耗时整理‖免费分享 cunlove.cn】.mp4 (114.8 MB)
03.数据加载_.mp4 (153.0 MB)
04.数据增强_.mp4 (30.8 MB)
05.模型构建_.mp4 (16.8 MB)
06.模型训练_.mp4 (82.1 MB)
07.模型预测_.mp4 (45.1 MB)
08.人脸识别_.mp4 (73.1 MB)
09.数据获取_.mp4 (40.3 MB)
10.模型构建_.mp4 (89.9 MB)
11.arcface_【耗时整理‖免费分享 cunlove.cn】.mp4 (62.4 MB)
12.内容总结_.mp4 (12.0 MB)
04-人脸识别
01.内容回顾_.mp4 (14.9 MB)
02.模型训练_.mp4 (71.7 MB)
03.模型使用_.mp4 (162.8 MB)
04.模型集成_.mp4 (63.3 MB)
05.代码结构_.mp4 (32.3 MB)
06.人脸矫正_.mp4 (67.5 MB)
07.属性获取_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.7 MB)
08.可视化_.mp4 (172.7 MB)
09.模型部署_.mp4 (46.2 MB)
10.人脸支付项目总结_.mp4 (40.7 MB)
阶段15-AI智慧交通项目实战
01-opencv
01-项目架构_.mp4 (15.9 MB)
02-项目构成_.mp4 (12.1 MB)
03-资料共享_.mp4 (6.3 MB)
04-opencv介绍_.mp4 (16.7 MB)
05-图像读写_【耗时整理‖免费分享 cunlove.cn】.mp4 (29.3 MB)
06-绘制几何图像_【耗时整理‖免费分享 cunlove.cn】.mp4 (38.2 MB)
07-图像加法_.mp4 (32.6 MB)
08-图像缩放与平移_.mp4 (50.3 MB)
09-图像旋转和仿射变换_.mp4 (37.5 MB)
10-透射变换_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.7 MB)
11-图像噪声_.mp4 (12.4 MB)
12-图像平滑方法_【耗时整理‖免费分享 cunlove.cn】.mp4 (71.9 MB)
13-边缘检测思想_【耗时整理‖免费分享 cunlove.cn】.mp4 (76.5 MB)
14-sobel边缘检测_.mp4 (17.9 MB)
15-canny边缘检测_.mp4 (37.1 MB)
16-视频读写_【耗时整理‖免费分享 cunlove.cn】.mp4 (42.8 MB)
17-opencv总结_.mp4 (52.1 MB)
02-yoloV8
01-YOLO发展_.mp4 (12.3 MB)
02-V8简介_.mp4 (18.4 MB)
03-V8的使用_.mp4 (55.8 MB)
04-效果展示_.mp4 (21.3 MB)
05-streamlit的实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (64.2 MB)
03-车流量统计
01-车流量统计思想_.mp4 (26.6 MB)
02-多目标跟踪算法_.mp4 (63.6 MB)
03-sort和deepsort算法_.mp4 (29.4 MB)
04-KM算法_.mp4 (36.3 MB)
05-卡尔曼滤波_.mp4 (67.0 MB)
06-卡尔曼滤波思想_.mp4 (88.3 MB)
07-卡尔曼滤波实践_.mp4 (88.8 MB)
08-sort算法实现1 _.mp4 (87.1 MB)
09-sort算法实现2_.mp4 (50.9 MB)
10-sort算法实现跟踪_.mp4 (95.2 MB)
11-deepsort算法跟踪_.mp4 (22.3 MB)
04-车道线检测
01-车道线检测原理_【耗时整理‖免费分享 cunlove.cn】.mp4 (53.7 MB)
02-相机坐标系转换_.mp4 (65.8 MB)
03-内容回顾_.mp4 (96.6 MB)
04-相机较正方法_.mp4 (98.1 MB)
05-优化方法_【耗时整理‖免费分享 cunlove.cn】.mp4 (90.4 MB)
06-优化方法2_.mp4 (93.1 MB)
07-相机较正流程_.mp4 (22.9 MB)
08-双目较正_.mp4 (18.0 MB)
09-相机较正实现_.mp4 (110.2 MB)
10-图像去畸变_.mp4 (22.6 MB)
11-车道线提取_【耗时整理‖免费分享 cunlove.cn】.mp4 (46.2 MB)
12-车道线定位_.mp4 (60.1 MB)
13-车道线拟合_.mp4 (79.9 MB)
14-车道线填充_.mp4 (21.0 MB)
15-车道线曲率_.mp4 (50.8 MB)
16-车辆偏离中心库里计算_.mp4 (31.8 MB)
17-车道线检测流程_.mp4 (26.1 MB)
18-效果展示_【耗时整理‖免费分享 cunlove.cn】.mp4 (11.4 MB)
阶段16-串讲赠品
AI模型部署-17期
01-加密视频
01-模型部署内容概述_.wmv (13.6 MB)
02-模型训练-数据集介绍_.wmv (82.3 MB)
03-模型训练-数据格式转换_.wmv (70.8 MB)
04-模型训练-邮件数据清洗_【耗时整理‖免费分享 cunlove.cn】.wmv (227.7 MB)
05-模型训练-文本特征提取_.wmv (65.9 MB)
06-模型训练-邮件模型训练_.wmv (18.2 MB)
07-模型训练-邮件模型评估_【耗时整理‖免费分享 cunlove.cn】.wmv (82.1 MB)
08-模型训练-邮件模型预测_.wmv (41.5 MB)
09-服务接口-Flask作用_【耗时整理‖免费分享 cunlove.cn】.wmv (30.8 MB)
10-服务接口-Flask-Hello-World-1_【耗时整理‖免费分享 cunlove.cn】.wmv (35.7 MB)
11-服务接口-Flask-Hello-World-2_.wmv (37.0 MB)
12-服务接口-创建表单_.wmv (72.2 MB)
13-服务接口-处理表单_.wmv (33.8 MB)
14-服务接口-表单扩展_.wmv (40.4 MB)
15-服务接口-服务封装_【耗时整理‖免费分享 cunlove.cn】.wmv (97.0 MB)
16-容器部署-介绍安装_.wmv (62.1 MB)
17-容器部署-快速入门_.wmv (83.4 MB)
18-容器部署-镜像操作_.wmv (50.9 MB)
19-容器部署-容器操作_.wmv (35.8 MB)
20-容器部署-手动构建镜像_【耗时整理‖免费分享 cunlove.cn】.wmv (107.2 MB)
21-容器部署-自动构建镜像_.wmv (67.9 MB)
22-模型部署回顾_.wmv (34.3 MB)
2 课件
模型部署.zip (1.0 MB)
3 练习
模型部署练习.zip (46.7 MB)
李刚#AI关系抽取项目#17期
day01
01-加密视频
01-关系抽取项目简介_.wmv (51.1 MB)
02-关系抽取项目背景介绍_.wmv (42.5 MB)
03-关系抽取其业务他应用场景_.wmv (25.1 MB)
04-关系抽取任务的特点_.wmv (27.8 MB)
05-关系抽取任务的指标和问题_.wmv (43.4 MB)
06–关系抽取第一小结_【耗时整理‖免费分享 cunlove.cn】.wmv (22.9 MB)
07–规则进行关系抽取任务介绍_.wmv (41.7 MB)
08-规则实现关系抽取代码分析_【耗时整理‖免费分享 cunlove.cn】.wmv (42.8 MB)
09-规则实现关系抽取总结mp4_.wmv (13.9 MB)
10-Pipeline方式原理介绍_.wmv (52.0 MB)
11-BiLSTM+Attention模型架构分析_.wmv (14.9 MB)
12–BiLSTM+Attention模型配置文件_.wmv (66.3 MB)
13-BILSTM+Attention数据预处理函数配置_.wmv (28.7 MB)
14–数据预处理函数sent_padding实现_.wmv (95.1 MB)
02-笔记
01-课程简介.md (1.0 KB)
02-关系抽取项目背景介绍.md (7.3 KB)
03-规则方法介绍.md (3.7 KB)
img
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1689568362538.png (17.4 KB)
AI【耗时整理‖免费分享 cunlove.cn】.jpg (46.0 KB)
image-20230108224144400.png (1.3 MB)
image-20230108233852229.png (412.7 KB)
image-20230111212028757.png (95.0 KB)
image-20230112002118366.png (61.2 KB)
neo4j_01.png (177.1 KB)
pr【耗时整理‖免费分享 cunlove.cn】.png (17.4 KB)
yule_01.png (207.3 KB)
03-课件
01-课程简介【耗时整理‖免费分享 cunlove.cn】.pptx (6.0 MB)
02-项目背景介绍.pptx (5.0 MB)
03-基于规则方法实现关系抽取.pptx (1.5 MB)
04-基于Pipeline方法实现关系抽取.pptx (4.8 MB)
04-代码
ai16_config.py (1.2 KB)
ai16_process.py (1.1 KB)
day02
01-加密视频
01-昨日视频回顾_.wmv (80.5 MB)
02-数据预处理Pos函数讲解_.wmv (10.2 MB)
03-数据预处理pos函数和pos_padding函数的实现_.wmv (33.2 MB)
04-数据预处理函数get_txt_data讲解_.wmv (42.8 MB)
05-get_txt_data函数代码实现_.wmv (49.8 MB)
06–get_word_id函数实现_.wmv (55.5 MB)
07–DataSet类的实现_.wmv (26.2 MB)
08–自定义函数collate_fn函数的实现_.wmv (76.3 MB)
09–Dataset类和Dataloader类实现_【耗时整理‖免费分享 cunlove.cn】.wmv (40.5 MB)
10–BiLSTM+Attention模型类init方法讲解_.wmv (32.4 MB)
11-init方法代码实现_【耗时整理‖免费分享 cunlove.cn】.wmv (71.5 MB)
12–初始化参数方法和attention方法实现_.wmv (32.1 MB)
13–forward函数代码分析_.wmv (70.8 MB)
14–foward函数代码实现_.wmv (48.3 MB)
15–模型数据形状结果分析_.wmv (50.5 MB)
16–模型训练_【耗时整理‖免费分享 cunlove.cn】.wmv (86.6 MB)
17–预测代码分析_【耗时整理‖免费分享 cunlove.cn】.wmv (24.0 MB)
18–模型预测代码的实现_.wmv (79.1 MB)
19–今日内容总结_【耗时整理‖免费分享 cunlove.cn】.wmv (31.2 MB)
02-笔记
⚠️ 无法获取目录内容或目录为空
03-课件
04-基于Pipeline方法实现关系抽取.pptx (4.8 MB)
04-代码
ai16_config【耗时整理‖免费分享 cunlove.cn】.py (1.2 KB)
ai16_process【耗时整理‖免费分享 cunlove.cn】.py (1.1 KB)
day03
01-加密视频
01-知识回顾_【耗时整理‖免费分享 cunlove.cn】.wmv (34.8 MB)
02-Joint方法原理介绍_【耗时整理‖免费分享 cunlove.cn】.wmv (37.1 MB)
03-Joint方法优缺点_.wmv (4.9 MB)
04-Casrel模型架构讲解_.wmv (61.5 MB)
05-Casrel模型架构_【耗时整理‖免费分享 cunlove.cn】.wmv (16.5 MB)
06-Casrel数据集介绍_.wmv (39.2 MB)
07-Config类代码的实现_.wmv (69.7 MB)
08-第一个数据处理函数find_head_index实现_【耗时整理‖免费分享 cunlove.cn】.wmv (27.0 MB)
09-数据预处理函数creat_label思想_.wmv (358.6 MB)
10-create_label代码思想_.wmv (83.8 MB)
11-create_label代码实现_.wmv (145.6 MB)
12-collate_fn自定义函数代码分析_.wmv (48.2 MB)
13–collate_fn自定义函数实现_.wmv (60.9 MB)
14-Dataset类代码实现_.wmv (36.0 MB)
15-Dataloader类代码分析和实现_【耗时整理‖免费分享 cunlove.cn】.wmv (48.5 MB)
02-笔记
第四章笔记
01-pipeline方法介绍.md (1.7 KB)
02-BiLSTM+Attention模型介绍【耗时整理‖免费分享 cunlove.cn】.md (4.6 KB)
03-BILSTM+Attention模型数据预处理.md (12.9 KB)
04-BILSTM+Attention模型实现与训练.md (8.4 KB)
img
1-1-1.png (65.2 KB)
1-1-2.png (1.3 MB)
1-1-3.png (476.1 KB)
1-1-4.png (712.2 KB)
1-2-1.png (94.2 KB)
1-2-2.png (19.8 KB)
1-2-3.png (16.4 KB)
1-2-4.png (16.2 KB)
3-2-1.png (96.6 KB)
3-3-1.png (86.7 KB)
3-4-1【耗时整理‖免费分享 cunlove.cn】.png (192.2 KB)
3-4-2.png (72.7 KB)
4-1-1.png (149.2 KB)
4-1-2.png (57.7 KB)
4-2-1【耗时整理‖免费分享 cunlove.cn】.png (379.0 KB)
4-2-2【耗时整理‖免费分享 cunlove.cn】.png (296.0 KB)
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5-2-31.jpeg (84.5 KB)
1689568362538【耗时整理‖免费分享 cunlove.cn】.png (17.4 KB)
AI.jpg (46.0 KB)
image-20230108224144400.png (1.3 MB)
image-20230108233852229.png (412.7 KB)
image-20230111212028757.png (95.0 KB)
image-20230112002118366.png (61.2 KB)
neo4j_01.png (177.1 KB)
pr.png (17.4 KB)
yule_01.png (207.3 KB)
03-代码
Bilstm_Attention_RE
.idea
bilstm_crf_re.iml (610.0 B)
deployment.xml (371.0 B)
misc【耗时整理‖免费分享 cunlove.cn】.xml (301.0 B)
modules.xml (285.0 B)
workspace.xml (31.6 KB)
__init__.py (70.0 B)
__pycache__
ai16_config.cpython-36.pyc (1.2 KB)
config.cpython-36.pyc (1.1 KB)
ai16_config.py (1.2 KB)
ai16_predict.py (2.0 KB)
ai16_train.py (2.5 KB)
config.py (1.4 KB)
data
relation2id【耗时整理‖免费分享 cunlove.cn】.txt (44.0 B)
test.txt (906.6 KB)
train.txt (2.7 MB)
img
loss1.png (197.9 KB)
model
__pycache__
ai16_bilstm_atten.cpython-36.pyc (2.3 KB)
bilstm_atten.cpython-36.pyc (2.2 KB)
ai16_bilstm_atten.py (4.1 KB)
bilstm_atten.py (3.8 KB)
predict.py (1.9 KB)
save_model
20230228_new_model_0.bin (2.7 MB)
20230228_new_model_10.bin (2.7 MB)
20230228_new_model_20.bin (2.7 MB)
20230228_new_model_30.bin (2.7 MB)
20230228_new_model_40.bin (2.7 MB)
train【耗时整理‖免费分享 cunlove.cn】.py (2.5 KB)
utils
__init__【耗时整理‖免费分享 cunlove.cn】.py (69.0 B)
__pycache__
__init__.cpython-36.pyc (140.0 B)
ai16_data_loader.cpython-36.pyc (3.0 KB)
ai16_process.cpython-36.pyc (3.6 KB)
data_loader.cpython-36.pyc (2.6 KB)
process.cpython-36【耗时整理‖免费分享 cunlove.cn】.pyc (3.1 KB)
ai16_data_loader.py (3.2 KB)
ai16_process.py (4.2 KB)
data_loader.py (2.5 KB)
process.py (4.2 KB)
day04
01-加密视频
01-内容回顾_.wmv (46.1 MB)
02-Casrel模型init函数实现_.wmv (48.3 MB)
03-Casrel模型get_encode_result和get_subs代码实现_.wmv (151.2 MB)
04-Casrel模型客实体识别代码_.wmv (138.3 MB)
05-Casrel模型forward函数实现_.wmv (36.0 MB)
06-Casrel模型代码搭建实现_.wmv (66.2 MB)
07-load_model函数代码实现_.wmv (139.2 MB)
08-extract_sub函数代码分析_【耗时整理‖免费分享 cunlove.cn】.wmv (221.2 MB)
09-extract_sub代码实现_.wmv (18.6 MB)
10-extract_obj_and_relation函数的分析_.wmv (29.6 MB)
11-extract_obj_and_rel函数的实现_.wmv (22.7 MB)
12-train_eopch和modle2dev函数讲解_.wmv (228.5 MB)
13–train函数讲解_【耗时整理‖免费分享 cunlove.cn】.wmv (34.9 MB)
14-train函数代码的实现_.wmv (106.0 MB)
15-test函数代码实现_.wmv (176.9 MB)
02-笔记
第五章内容笔记
05-01-joint方法介绍.md (1.8 KB)
05-02-Casrel模型架构【耗时整理‖免费分享 cunlove.cn】.md (3.4 KB)
05-03-Casrel数据处理介绍.md (18.1 KB)
05-04-Casrel模型代码实现与训练.md (22.0 KB)
img
1-1-1.png (65.2 KB)
1-1-2.png (1.3 MB)
1-1-3.png (476.1 KB)
1-1-4.png (712.2 KB)
1-2-1【耗时整理‖免费分享 cunlove.cn】.png (94.2 KB)
1-2-2.png (19.8 KB)
1-2-3.png (16.4 KB)
1-2-4.png (16.2 KB)
3-2-1.png (96.6 KB)
3-3-1.png (86.7 KB)
3-4-1.png (192.2 KB)
3-4-2【耗时整理‖免费分享 cunlove.cn】.png (72.7 KB)
4-1-1.png (149.2 KB)
4-1-2【耗时整理‖免费分享 cunlove.cn】.png (57.7 KB)
4-2-1.png (379.0 KB)
4-2-2.png (296.0 KB)
4-2-3.png (299.7 KB)
4-2-4.png (6.8 KB)
4-2-5.png (75.2 KB)
4-3-1.png (100.9 KB)
4-4-1.png (1.2 MB)
5-2-1.png (144.4 KB)
5-2-2.png (152.2 KB)
5-2-3.png (117.6 KB)
5-2-4【耗时整理‖免费分享 cunlove.cn】.png (25.2 KB)
5-2-5【耗时整理‖免费分享 cunlove.cn】.png (137.1 KB)
5-2-6【耗时整理‖免费分享 cunlove.cn】.png (153.3 KB)
5-2-7.png (145.0 KB)
5-2-8.png (104.1 KB)
5-2-9.png (144.6 KB)
5-2-10.jpeg (111.2 KB)
5-2-11【耗时整理‖免费分享 cunlove.cn】.jpeg (146.6 KB)
5-2-12.jpeg (104.9 KB)
5-2-13.jpeg (93.0 KB)
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5-2-17.png (63.7 KB)
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5-2-21.jpeg (157.5 KB)
5-2-22.jpeg (154.5 KB)
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5-2-29.jpeg (91.6 KB)
5-2-30【耗时整理‖免费分享 cunlove.cn】.jpeg (84.5 KB)
5-2-31【耗时整理‖免费分享 cunlove.cn】.jpeg (84.5 KB)
1689568362538.png (17.4 KB)
AI.jpg (46.0 KB)
image-20230108224144400.png (1.3 MB)
image-20230108233852229.png (412.7 KB)
image-20230111212028757.png (95.0 KB)
image-20230112002118366.png (61.2 KB)
neo4j_01.png (177.1 KB)
pr【耗时整理‖免费分享 cunlove.cn】.png (17.4 KB)
yule_01【耗时整理‖免费分享 cunlove.cn】.png (207.3 KB)
03-代码
relationship_extract
__init__【耗时整理‖免费分享 cunlove.cn】.py
⚠️ 无法获取目录内容或目录为空
adaa.py (174.0 B)
bert-base-chinese
config.json (624.0 B)
pytorch_model.bin (392.5 MB)
README.md (21.0 B)
tokenizer.json (262.6 KB)
tokenizer_config.json (29.0 B)
vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.0 KB)
codes
__init__.py
⚠️ 无法获取目录内容或目录为空
__pycache__
__init__.cpython-36.pyc (186.0 B)
ai16_config.cpython-36.pyc (1.8 KB)
config.cpython-36.pyc (1.8 KB)
config.cpython-39【耗时整理‖免费分享 cunlove.cn】.pyc (1.2 KB)
predict.cpython-36.pyc (2.7 KB)
aaaa.py (814.0 B)
ai16_config【耗时整理‖免费分享 cunlove.cn】.py (1.8 KB)
ai16_trian.py (6.1 KB)
config.py (1.8 KB)
flask_test.py (588.0 B)
flask_web.py (1.1 KB)
map_display【耗时整理‖免费分享 cunlove.cn】.py (11.0 KB)
model
__init__【耗时整理‖免费分享 cunlove.cn】.py (69.0 B)
__pycache__
__init__.cpython-36.pyc (157.0 B)
__init__.cpython-38.pyc (215.0 B)
ai16_CasrelModel.cpython-36.pyc (4.7 KB)
CasrelModel.cpython-36.pyc (5.1 KB)
CasrelModel.cpython-38.pyc (4.8 KB)
ai16_CasrelModel【耗时整理‖免费分享 cunlove.cn】.py (6.1 KB)
CasrelModel.py (7.9 KB)
new_flask.py (871.0 B)
predict.py (4.1 KB)
templates
chat【耗时整理‖免费分享 cunlove.cn】.html (457.0 B)
index.html (618.0 B)
test.py (3.2 KB)
train.py (5.9 KB)
utils
__init__.py (121.0 B)
__pycache__
__init__.cpython-36.pyc (239.0 B)
ai16_data_loader.cpython-36.pyc (1.9 KB)
ai16_process.cpython-36.pyc (5.2 KB)
data_loader.cpython-36.pyc (1.6 KB)
process.cpython-36.pyc (5.0 KB)
ai16_data_loader.py (2.2 KB)
ai16_process.py (7.9 KB)
data_loader.py (2.0 KB)
process.py (8.7 KB)
data
__init__.py (69.0 B)
dev.json (4.0 MB)
predict_spo.json (2.6 MB)
rel_type.json (3.4 KB)
relation【耗时整理‖免费分享 cunlove.cn】.json (364.0 B)
test.json (5.4 MB)
train.json (20.1 MB)
save_model
best_f1.pth (390.3 MB)
day05
01-加密视频
01-知识回顾_.wmv (43.0 MB)
02-API接口的制作_【耗时整理‖免费分享 cunlove.cn】.wmv (54.8 MB)
03-API接口的测试_【耗时整理‖免费分享 cunlove.cn】.wmv (64.1 MB)
04-Neo4j图数据库安装介绍_.wmv (44.2 MB)
05-Neo4j图数据库创建节点_.wmv (76.3 MB)
06-Neo4j图数据库创建关系_.wmv (21.5 MB)
07-Neo4j图数据库查询节点_.wmv (72.7 MB)
08-关系查询_.wmv (115.5 MB)
09-节点和关系的删除_.wmv (225.1 MB)
10-py2neo操作neo4j结尾_.wmv (34.6 MB)
11-Neo4j图数据库准备数据_.wmv (149.0 MB)
12-Neo4j创建节点函数_.wmv (50.5 MB)
13-将所有预测的SPO三元组数据导入Neo4j_.wmv (68.3 MB)
02-笔记
img
1-1-1.png (65.2 KB)
1-1-2.png (1.3 MB)
1-1-3【耗时整理‖免费分享 cunlove.cn】.png (476.1 KB)
1-1-4.png (712.2 KB)
1-2-1.png (94.2 KB)
1-2-2.png (19.8 KB)
1-2-3.png (16.4 KB)
1-2-4.png (16.2 KB)
3-2-1.png (96.6 KB)
3-3-1.png (86.7 KB)
3-4-1【耗时整理‖免费分享 cunlove.cn】.png (192.2 KB)
3-4-2.png (72.7 KB)
4-1-1.png (149.2 KB)
4-1-2.png (57.7 KB)
4-2-1【耗时整理‖免费分享 cunlove.cn】.png (379.0 KB)
4-2-2.png (296.0 KB)
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📁 03-代码
⚠️ 无法获取目录内容或目录为空
📁 源码课件笔记资料
📁 阶段1-python基础编程
📁 01-基础讲义
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📁 13
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📁 gitbook
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📁 day01
📁 笔记
day01笔记.md (23.4 KB)
images
1690426732133.png (70.3 KB)
1690426810377.png (24.7 KB)
1690430246576.png (134.7 KB)
img
image-20220511093727668.png (150.5 KB)
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代码
python_demo
.idea
.gitignore (50.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
misc【耗时整理‖免费分享 cunlove.cn】.xml (188.0 B)
modules.xml (281.0 B)
python_demo.iml (291.0 B)
workspace.xml (10.2 KB)
01-第一个python程序【耗时整理‖免费分享 cunlove.cn】.py (23.0 B)
02-注释.py (1.1 KB)
03-变量.py (1022.0 B)
04-变量的类型.py (1.6 KB)
05-标识符和关键字.py (1.7 KB)
06-输出.py (2.7 KB)
07-处理格式化输出中的精度问题.py (1.1 KB)
08-输出函数详解【耗时整理‖免费分享 cunlove.cn】.py (856.0 B)
09-python的输入函数.py (1.7 KB)
10-数据类型转换.py (1.6 KB)
hello world.py (23.0 B)
作业
01-Python入门作业.md (5.9 KB)
day02
笔记
day02笔记.md (24.6 KB)
img
image-20220512111244281.png (83.3 KB)
image-20220512150659892.png (256.8 KB)
image-20220512152613300.png (702.8 KB)
image-20220512155046174.png (422.8 KB)
image-20220512161710887.png (813.8 KB)
image-20220512182230498.png (78.0 KB)
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代码
.idea
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代码【耗时整理‖免费分享 cunlove.cn】.iml (291.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
misc.xml (188.0 B)
modules.xml (271.0 B)
workspace.xml (11.0 KB)
00-作业讲解.py (53.0 B)
01-f-string字符串.py (2.1 KB)
02-变量的数据类型补充.py (2.5 KB)
03-算数运算符.py (1.6 KB)
04-赋值运算符.py (1.6 KB)
05-比较运算符.py (1.1 KB)
06-字符串之间的大小比较.py (1.7 KB)
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08-三大流程语句.py (507.0 B)
09-单条件分支语句.py (838.0 B)
10-对立条件分支语句.py (982.0 B)
11-多条件分支语句.py (3.4 KB)
12-分支语句的嵌套.py (1.7 KB)
13-猜拳游戏.py (1.0 KB)
14-三目运算符.py (849.0 B)
15-循环语句的体验.py (529.0 B)
16-while循环详解.py (1.4 KB)
作业
02_分支语句作业.md (5.1 KB)
day03
笔记
day03笔记.md (24.1 KB)
img
image-20220514120738331.png (99.0 KB)
image-20220514170939957.png (157.7 KB)
image-20220514171102340.png (198.8 KB)
代码
.idea
.gitignore (50.0 B)
代码【耗时整理‖免费分享 cunlove.cn】.iml (291.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
misc.xml (188.0 B)
modules.xml (271.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (10.2 KB)
01-while的应用–1-100的累加和.py (1.9 KB)
02-while的应用-1-100的偶数累加和【耗时整理‖免费分享 cunlove.cn】.py (841.0 B)
03-循环的嵌套.py (1.7 KB)
04-循环嵌套的应用–输出矩形.py (2.3 KB)
05-猜拳游戏优化.py (1.9 KB)
06-for循环.py (1.1 KB)
07-for配合range函数使用.py (2.0 KB)
08-for循环的应用–输出矩形.py (1.9 KB)
09-for循环的应用–九九乘法表.py (2.2 KB)
10-break.py (749.0 B)
11-continue.py (1.1 KB)
12-break和continue的注意事项.py (1.5 KB)
13-循环结构中的else.py (2.6 KB)
14-报数小游戏.py (1.2 KB)
15-猜数游戏【耗时整理‖免费分享 cunlove.cn】.py (1.2 KB)
作业
03_循环作业.md (8.3 KB)
day04
笔记
day04笔记.md (25.0 KB)
images
1691033937521.png (109.6 KB)
1691034134381.png (295.4 KB)
img
image-20220515113548579.png (166.0 KB)
代码
.idea
.gitignore (50.0 B)
代码.iml (291.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
misc.xml (188.0 B)
modules.xml (271.0 B)
workspace.xml (9.9 KB)
00-作业讲解.py (1.2 KB)
01-字符串的定义.py (1.3 KB)
02-多种字符串定义方式嵌套使用.py (1.1 KB)
03-字符串的下标.py (1.7 KB)
04-字符串切片.py (2.3 KB)
05-字符串切片的省略.py (1.8 KB)
06-字符串的查找方法.py (3.3 KB)
07-字符串的替换方法【耗时整理‖免费分享 cunlove.cn】.py (1.0 KB)
08-字符串的拆分方法.py (1.5 KB)
09-字符串的应用.py (1.8 KB)
10-字符串的方法补充.py (1.5 KB)
11-字符串的方法补充2.py (1.6 KB)
📄 12-列表的定义.py (1.1 KB)
📄 13-列表的遍历.py (812.0 B)
📄 14-列表的操作-增.py (1.8 KB)
📄 15-列表的操作–查.py (1.3 KB)
📁 作业
📄 04_字符串作业.md (4.0 KB)
📄 05_列表作业.md (2.7 KB)
📁 day05
📁 笔记
📄 day05笔记.md (27.2 KB)
📁 images
📄 1691200452344【耗时整理‖免费分享 cunlove.cn】.png (145.5 KB)
📁 img
📄 image-20220517102541085.png (115.3 KB)
📄 image-20220517104206759.png (156.5 KB)
📄 image-20220517114659267【耗时整理‖免费分享 cunlove.cn】.png (181.3 KB)
📄 image-20220517115025831.png (95.7 KB)
📁 代码
📁 .idea
📄 .gitignore (50.0 B)
📄 代码.iml (291.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 misc.xml (188.0 B)
📄 modules.xml (271.0 B)
📄 workspace.xml (9.9 KB)
📄 01-列表的操作–删.py (3.2 KB)
📄 02-列表的操作–改.py (408.0 B)
📄 03-列表的反转及排序.py (1.4 KB)
📄 04-列表的嵌套.py (2.2 KB)
📄 05-列表的推导式.py (2.0 KB)
📄 06-元组的定义.py (1.4 KB)
📄 07-元组的特性.py (1008.0 B)
📄 08-元组的常见操作【耗时整理‖免费分享 cunlove.cn】.py (1.0 KB)
📄 09-set集合的介绍.py (2.7 KB)
📄 10-字典的定义【耗时整理‖免费分享 cunlove.cn】.py (2.0 KB)
📄 11-字典的操作–查.py (1.7 KB)
📄 12-字典的操作–增.py (901.0 B)
📄 13-字典的操作–改.py (942.0 B)
📄 14-字典的操作–删【耗时整理‖免费分享 cunlove.cn】.py (882.0 B)
📄 15-字典的遍历.py (1.0 KB)
📄 16-容器的公共运算符.py (2.8 KB)
📄 17-容器的公共函数.py (1.7 KB)
📁 作业
📄 06_tuple.md (2.0 KB)
📄 07_dict.md (6.1 KB)
📁 day06
📁 笔记
📄 day06笔记.md (28.5 KB)
📁 img
📄 image-20220518102811720.png (108.1 KB)
📄 image-20220518103918803【耗时整理‖免费分享 cunlove.cn】.png (62.8 KB)
📄 image-20220518104237145【耗时整理‖免费分享 cunlove.cn】.png (88.2 KB)
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📄 image-20220518121154186.png (112.1 KB)
📄 image-20220518163450949.png (404.6 KB)
📄 image-20220518174638211.png (228.6 KB)
📁 代码
📁 .idea
📄 .gitignore (50.0 B)
📄 代码【耗时整理‖免费分享 cunlove.cn】.iml (291.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 misc【耗时整理‖免费分享 cunlove.cn】.xml (188.0 B)
📄 modules.xml (271.0 B)
📄 workspace.xml (9.9 KB)
📄 01-函数的简单使用.py (1.5 KB)
📄 02-定义函数的注意事项.py (707.0 B)
📄 03-函数的说明文档.py (1015.0 B)
📄 04-函数的参数.py (1.7 KB)
📄 05-函数的返回值.py (999.0 B)
📄 06-变量的作用域.py (1.6 KB)
📄 07-global关键字.py (2.8 KB)
📄 08-函数定义中嵌套函数的调用.py (936.0 B)
📄 09-函数的执行流程.py (1.4 KB)
📄 10-函数的参数和返回值传递流程.py (536.0 B)
📄 11-返回值加强.py (1.1 KB)
📄 12-实参–位置参数.py (529.0 B)
📄 13-实参–关键字参数赋值.py (1.8 KB)
📄 14-形参-位置参数.py (434.0 B)
📄 15-形参-缺省参数.py (971.0 B)
📄 16-形参-位置不定长参数.py (1.8 KB)
📄 17-形参-关键字不定长参数.py (2.0 KB)
📄 18-组包和拆包.py (825.0 B)
📄 19-引用【耗时整理‖免费分享 cunlove.cn】.py (2.9 KB)
📄 20-可变数据类型和不可变数据类型【耗时整理‖免费分享 cunlove.cn】.py (1.7 KB)
📁 作业
📄 07-函数作业.md (4.5 KB)
📁 day07
📁 笔记
📄 day07笔记.md (24.0 KB)
📁 img
📄 image-20220520105631721.png (135.9 KB)
📄 image-20220520110113413.png (93.1 KB)
📄 image-20220520160533195【耗时整理‖免费分享 cunlove.cn】.png (109.1 KB)
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📁 代码
📁 .idea
📄 .gitignore (50.0 B)
📄 代码.iml (291.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 misc.xml (188.0 B)
📄 modules【耗时整理‖免费分享 cunlove.cn】.xml (271.0 B)
📄 workspace.xml (10.6 KB)
📄 01-lambda表达式.py (2.9 KB)
📄 02-递归(了解)【耗时整理‖免费分享 cunlove.cn】.py (1.9 KB)
📄 2.txt (402.0 B)
📄 2[备份].txt (403.0 B)
📄 03-文件读写体验.py (374.0 B)
📁 3.txt
⚠️ 无法获取目录内容或目录为空
📄 04-文件的读取.py (3.2 KB)
📄 05-文件的写入.py (1.8 KB)
📄 06-文件的追加.py (1.7 KB)
📄 07-文件备份案例.py (870.0 B)
📄 08-文件备份案例–字节型备份.py (1.6 KB)
📄 09-文件的读写模式扩展(了解).py (3.1 KB)
📄 10-字符集的意义.py (1.8 KB)
📄 11-相对路径和绝对路径.py (819.0 B)
📄 12-os模块的简单使用.py (1.9 KB)
📁 data
⚠️ 无法获取目录内容或目录为空
📄 demo1.txt (44.0 B)
📄 erkang[备份].jpg (14.1 KB)
📄 erkang【耗时整理‖免费分享 cunlove.cn】.jpg (14.1 KB)
📄 shi.txt (94.0 B)
📄 shi[备份].txt (94.0 B)
📁 作业
📄 08-文件操作作业.md (4.1 KB)
📁 day08
📁 笔记
📄 day08笔记【耗时整理‖免费分享 cunlove.cn】.md (33.8 KB)
📁 img
📄 image-20220521144746376.png (146.5 KB)
📄 image-20220521144816423.png (153.4 KB)
📄 Python基础班重点内容.md (2.0 KB)
📁 代码
📁 .idea
📄 .gitignore (50.0 B)
📄 代码.iml (291.0 B)
📁 inspectionProfiles
📄 profiles_settings【耗时整理‖免费分享 cunlove.cn】.xml (174.0 B)
📄 misc.xml (188.0 B)
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📄 workspace.xml (11.0 KB)
📄 00-作业讲解【耗时整理‖免费分享 cunlove.cn】.py (980.0 B)
📄 0_0_chuanzhi.py (58.0 B)
📄 01-常见异常介绍.py (450.0 B)
📄 1.txt (63.0 B)
📄 02-异常捕获体验.py (1.1 KB)
📄 03-捕获指定类型的异常.py (2.0 KB)
📄 04-捕获异常描述信息【耗时整理‖免费分享 cunlove.cn】.py (1.2 KB)
📄 05-异常中的else.py (719.0 B)
📄 06-异常中的finally.py (1.6 KB)
📄 07-异常捕获练习【耗时整理‖免费分享 cunlove.cn】.py (622.0 B)
📄 08-异常穿透【耗时整理‖免费分享 cunlove.cn】.py (632.0 B)
📄 09-模块的导入方式【耗时整理‖免费分享 cunlove.cn】.py (1.4 KB)
📄 10-给模块或功能起别名.py (1023.0 B)
📄 11-自定义模块.py (778.0 B)
📄 12-__all__的使用.py (1.2 KB)
📄 13-包的使用.py (1.1 KB)
📄 14-测试代码的书写位置.py (713.0 B)
📄 15-学生管理系统需求分析.py (777.0 B)
📄 16-学生管理系统框架搭建【耗时整理‖免费分享 cunlove.cn】.py (1.0 KB)
📄 17-学生管理系统抽取函数.py (2.9 KB)
📄 18-学生管理系统–添加学员.py (3.1 KB)
📄 19-学生管理系统–删除学员.py (3.5 KB)
📄 20-学生管理系统–修改学员.py (4.2 KB)
📄 21-学生管理系统–查询学员信息.py (4.8 KB)
📄 22-学生管理系统–退出系统.py (5.2 KB)
📄 22-学生管理系统–展示所有学员信息.py (5.0 KB)
📄 23-PEP8语法规范.py (7.0 B)
📁 __pycache__
📄 my_module_01.cpython-38【耗时整理‖免费分享 cunlove.cn】.pyc (470.0 B)
📄 my_module__all__.cpython-38.pyc (531.0 B)
📁 my_dir
📁 __init__.py
⚠️ 无法获取目录内容或目录为空
📄 my_module_01.py (134.0 B)
📄 my_module__all__.py (188.0 B)
📁 my_package
📁 __init__.py
⚠️ 无法获取目录内容或目录为空
📁 __pycache__
📄 __init__.cpython-38.pyc (183.0 B)
📄 my_module_02.cpython-38【耗时整理‖免费分享 cunlove.cn】.pyc (560.0 B)
📄 my_module_03.cpython-38.pyc (481.0 B)
📄 my_module__all__.cpython-38.pyc (542.0 B)
📄 my_module_02.py (396.0 B)
📄 my_module_03.py (134.0 B)
📄 my_module__all__.py (188.0 B)
📁 py
📁 [黑马]python基础班-1.txt
⚠️ 无法获取目录内容或目录为空
📁 [黑马]python基础班-2.txt
⚠️ 无法获取目录内容或目录为空
📁 [黑马]python基础班-3.txt
⚠️ 无法获取目录内容或目录为空
📁 [黑马]python基础班-4.txt
⚠️ 无法获取目录内容或目录为空
📁 [黑马]python基础班-5.txt
⚠️ 无法获取目录内容或目录为空
📁 作业
⚠️ 无法获取目录内容或目录为空
📁 软件
📁 01_Python解释器(必装)
📄 1.python解释器安装教程.md (2.2 KB)
📄 1.python解释器安装教程.pdf (6.0 MB)
📁 2.windows
📄 01-Python 的安装.mp4 (74.2 MB)
📄 02_添加 Python 到环境变量【耗时整理‖免费分享 cunlove.cn】.mp4 (104.1 MB)
📄 python-3.8.2-amd64.exe (26.3 MB)
📁 3.Mac OS
📄 python-3.8.2-macosx10.9.pkg (28.6 MB)
📄 python解释器安装教程.mp4 (3.6 MB)
📁 02_Pycharm（必装）
📄 1.pycharm安装教程.md (2.6 KB)
📄 1.pycharm安装教程.pdf (2.1 MB)
📁 2.windows
📄 pycharm 安装教程.mp4 (36.7 MB)
📄 pycharm-community-2020.1【耗时整理‖免费分享 cunlove.cn】.exe (267.3 MB)
📁 3.Mac OS
📄 开启任何来源.txt (27.0 B)
📄 pycharm-community-2020.1【耗时整理‖免费分享 cunlove.cn】.dmg (360.2 MB)
📄 pycharm安装教程_1.mp4 (8.2 MB)
📁 03-文件同步软件
📁 macOS
📄 Resilio-Sync【耗时整理‖免费分享 cunlove.cn】.dmg (24.8 MB)
📁 windows
📄 Resilio-Sync_x64.exe (33.8 MB)
📁 04_typora及Xmind(必装)
📁 typora
📄 1.Typora 基本使用.md (1.5 KB)
📄 1.Typora 基本使用.pdf (352.3 KB)
📁 2.Windows
📄 typora-setup-x64.exe (48.6 MB)
📁 3.Mac OS
📄 Typora.dmg (10.7 MB)
📁 xmind
📁 mac
📄 xmind-8-macosx.dmg (170.1 MB)
📁 windows
📄 安装前请先阅读.txt (19.0 B)
📄 xmind-8-windows【耗时整理‖免费分享 cunlove.cn】.exe (154.1 MB)
📄 作业提交秘钥.txt (33.0 B)
📁 阶段2-Python编程进阶
📁 day01-面向对象基础
📁 01-讲义
📄 01_Python面向对象基础【耗时整理‖免费分享 cunlove.cn】.pdf (2.8 MB)
📁 02-笔记
📁 01-笔记
📁 images
📄 image-15103504343.png (357.9 KB)
📄 image-15105528242【耗时整理‖免费分享 cunlove.cn】.png (286.6 KB)
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image-20230812093826292.png (559.6 KB)
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image-23184354740.png (375.2 KB)
image-23185025048.png (204.8 KB)
image-23185447321.png (115.8 KB)
image-26061015026.png (836.8 KB)
开场白.md (2.0 KB)
Python面向对象基础.md (24.7 KB)
01-笔记.zip (12.7 MB)
03-代码
课堂
dm01_类的定义.py (149.0 B)
dm02_创建对象.py (525.0 B)
dm03_self关键字-为什么要有.py (463.0 B)
dm04_self关键字作用-类内部调用方法.py (377.0 B)
dm05_添加属性获取属性【耗时整理‖免费分享 cunlove.cn】.py (436.0 B)
dm06_在类内部获取属性.py (481.0 B)
dm07_无参init方法.py (413.0 B)
dm08_有参init方法.py (441.0 B)
dm09_课堂答疑.py (698.0 B)
dm10_str.py (606.0 B)
dm11_del魔法方法【耗时整理‖免费分享 cunlove.cn】.py (828.0 B)
dm12_减肥小案例.py (557.0 B)
dm13_烤地瓜.py (1.4 KB)
样例
zz01_定义类.py (384.0 B)
zz02_实例化对象.py (685.0 B)
zz03_self关键字.py (863.0 B)
zz04_类外部添加和获取属性.py (473.0 B)
zz05_类内部获取属性.py (567.0 B)
zz06_无参init方法.py (649.0 B)
zz07_有参init方法.py (601.0 B)
zz08_str魔法方法【耗时整理‖免费分享 cunlove.cn】.py (840.0 B)
zz09_del魔法方法.py (1.1 KB)
zz10_减肥.py (725.0 B)
zz11_烤地瓜.py (1.5 KB)
05-作业
day01实操练习-参考答案.md (1.6 KB)
面向对象基础作业.pdf (587.2 KB)
面向对象基础作业【耗时整理‖免费分享 cunlove.cn】.md (899.0 B)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day02-面向对象高级
01-讲义
⚠️ 无法获取目录内容或目录为空
02-笔记
02-笔记
images
image-05144714823.png (55.8 KB)
image-05144821736.png (57.8 KB)
image-05175029045.png (74.2 KB)
image-05190235793.png (164.8 KB)
image-06155249926.png (52.1 KB)
image-06155303777.png (52.0 KB)
image-06162528647.png (781.1 KB)
image-06162828013.png (842.8 KB)
image-06171153762.png (603.6 KB)
image-07174754336.png (749.7 KB)
image-16140801583.png (79.8 KB)
image-16142829775.png (165.0 KB)
image-16150109647.png (901.9 KB)
image-20230330111528253.png (59.4 KB)
image-20230330144854423.png (214.7 KB)
image-20230330161310784.png (145.8 KB)
image-20230809170803783.png (368.9 KB)
image-20230813100554665.png (641.1 KB)
Python面向对象高级.md (23.2 KB)
02-笔记.zip (5.8 MB)
03-代码
课堂
dm01_定义类的方法.py (280.0 B)
dm02_继承语法.py (565.0 B)
dm03_单继承.py (644.0 B)
dm04_多继承.py (1.2 KB)
dm05_子类重写父类的属性和方法.py (1.1 KB)
dm06_子类显示调用父类的属性和方法.py (1.4 KB)
dm07_使用super方法自动查找父类-调用父类方法.py (675.0 B)
dm08_使用super方法-两个父类.py (1.2 KB)
dm09_子类为啥不能继承了【耗时整理‖免费分享 cunlove.cn】.py (606.0 B)
dm10_父类中有私有属性.py (1.6 KB)
dm11_动物多态.py (1.0 KB)
dm12_战斗多态.py (1.6 KB)
dm13_多态好处.py (2.5 KB)
dm14_接口类-空调.py (1.0 KB)
dm15_1属性.py (217.0 B)
dm15_2类属性【耗时整理‖免费分享 cunlove.cn】.py (568.0 B)
dm16_类方法.py (278.0 B)
dm17_静态方法.py (289.0 B)
样例
zz01_类定义三种方法.py (418.0 B)
zz02_继承语法.py (688.0 B)
zz03_单继承.py (627.0 B)
zz04_多继承.py (1.6 KB)
zz05_子类重写父类同名方法和属性.py (1.2 KB)
zz06_子类调用父类同名方法和属性.py (1.4 KB)
zz07_super调用父类同名方法和属性【耗时整理‖免费分享 cunlove.cn】.py (1.1 KB)
zz08_拓展.py (2.2 KB)
zz09_多层继承.py (1.3 KB)
zz10_私有属性和方法.py (2.0 KB)
zz11-动物多态.py (737.0 B)
zz12-英雄战机多态.py (2.0 KB)
zz13-空调抽象类.py (948.0 B)
zz14-练习1警察通过各种警犬工作【耗时整理‖免费分享 cunlove.cn】.py (871.0 B)
zz15_1对象属性.py (504.0 B)
zz15_2类属性.py (505.0 B)
zz15_3类方法.py (632.0 B)
zz15_4类静态方法.py (635.0 B)
05-作业
面向对象高级作业.md (2.9 KB)
面向对象高级作业【耗时整理‖免费分享 cunlove.cn】.pdf (73.1 KB)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day03-学生管理系统
01-讲义
03_Python面向对象综合案例.pdf (549.9 KB)
03_浅拷贝和深拷贝【耗时整理‖免费分享 cunlove.cn】.pdf (785.0 KB)
02-笔记
03-笔记
回调函数.png (636.5 KB)
images
image-11194040404【耗时整理‖免费分享 cunlove.cn】.png (40.6 KB)
image-11194553882.png (22.3 KB)
image-11195322582.png (18.0 KB)
image-11200406186.png (12.4 KB)
image-20230323180037686.png (197.5 KB)
image-20230401102351318.png (417.7 KB)
image-20230401103005995【耗时整理‖免费分享 cunlove.cn】.png (108.6 KB)
image-20230401103745529.png (279.0 KB)
学员管理系统(面向对象).md (14.1 KB)
03-笔记.zip (6.8 MB)
03-代码
课堂代码01
dm01_student.py (867.0 B)
dm02_studentcms【耗时整理‖免费分享 cunlove.cn】.py (3.8 KB)
课堂代码02
__pycache__
dm01_student.cpython-38.pyc (1007.0 B)
dm01_浅拷贝.py (2.6 KB)
dm01_student.py (867.0 B)
dm02_深拷贝.py (1.3 KB)
dm02_studentcms.py (5.4 KB)
dm03_回调函数【耗时整理‖免费分享 cunlove.cn】.py (652.0 B)
样例
__pycache__
zz01_student.cpython-38.pyc (920.0 B)
zz02_studentcms.cpython-38.pyc (4.3 KB)
dm01_浅拷贝.py (2.4 KB)
dm02_深拷贝.py (1.2 KB)
mystudent.txt (264.0 B)
mystudent【耗时整理‖免费分享 cunlove.cn】.data
⚠️ 无法获取目录内容或目录为空
zz01_student.py (754.0 B)
zz02_studentcms.py (6.5 KB)
zz03_main.py (227.0 B)
zz04_回调函数.py (980.0 B)
05-作业
学员管理系统(面向对象)-作业.md (584.0 B)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day04-闭包装饰器
01-讲义
04_闭包和装饰器.pdf (441.7 KB)
05_网络编程.pdf (2.9 MB)
02-笔记
04-笔记
闭包和装饰器.md (16.7 KB)
images
image-20230402094848459.png (56.1 KB)
image-20230402101052952.png (208.7 KB)
image-20230402103559319.png (233.2 KB)
image-20230402103611455.png (233.2 KB)
image-20230402112122109.png (198.8 KB)
image-20230402144004744.png (448.1 KB)
image-20230402144824922.png (416.7 KB)
image-20230402150456648.png (189.6 KB)
image-20230402151618975【耗时整理‖免费分享 cunlove.cn】.png (111.4 KB)
image-20230402161326600.png (176.3 KB)
image-20230402161833896.png (281.3 KB)
image-20230402171202971.png (112.1 KB)
image-20230816105000321.png (407.9 KB)
image-20230816151548953【耗时整理‖免费分享 cunlove.cn】.png (758.6 KB)
image-20230816152301041.png (530.9 KB)
image-20230816153145386.png (196.5 KB)
image-20230816162131727.png (419.1 KB)
04-笔记.zip (4.5 MB)
05-笔记
images
4C8ED6008E1FD5F8EC0139E58FE_C0E2ED1F_B0C18.png (707.0 KB)
4F2A183B2F8CE0AE2B5AA8CFA59_5FA345D5_B517D.png (724.4 KB)
3777873E28CF2A61FA979C7C941_289B912A_A789E.png (670.2 KB)
9924BECA7429B5A4F5A68631611_B29149C4_A89FC.png (674.5 KB)
A149D935352BCFD695AC01F3124_66468A4B_B517D.png (724.4 KB)
BFFEE9CDD001A8B7B13D9F9232C_CA98BA47_A449C.png (657.2 KB)
E92B6251BA2D5C1BF8D2D2A34E1_E6459DB4_B1D6A【耗时整理‖免费分享 cunlove.cn】.png (711.4 KB)
EB8EBFAC92D7A180A671B64AE24_E0B1CD5E_B517D.png (724.4 KB)
image-19100529956.png (59.0 KB)
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image-19105846314.png (67.5 KB)
image-19110040061.png (76.4 KB)
image-19112144715.png (178.0 KB)
image-19112641992.png (222.1 KB)
image-19115439330.png (328.0 KB)
image-19115503676【耗时整理‖免费分享 cunlove.cn】.png (33.5 KB)
image-19115855315.png (65.2 KB)
image-19143235620.png (40.7 KB)
image-20091247584.png (57.1 KB)
image-20230215174226064.png (161.7 KB)
image-20230215180611391【耗时整理‖免费分享 cunlove.cn】.png (535.5 KB)
image-20230324142521474.png (568.4 KB)
image-20230324142817290.png (720.0 KB)
image-20230324142852026.png (429.8 KB)
image-20230404101243763.png (43.1 KB)
image-20230404101706212.png (117.1 KB)
image-20230404102042376.png (108.1 KB)
image-20230404102214649.png (146.1 KB)
image-20230404102406363.png (115.7 KB)
image-20230404105221549.png (1.0 MB)
image-20230404111103549.png (406.6 KB)
image-20230404114049792.png (284.4 KB)
image-20230404114320960.png (249.8 KB)
image-20230404115355490.png (249.8 KB)
image-20230404151708236【耗时整理‖免费分享 cunlove.cn】.png (83.9 KB)
image-20230815135325501.png (582.5 KB)
image-20230815135411544.png (1.2 MB)
image-20230815135559819.png (505.7 KB)
image-20230816164425692.png (1.2 MB)
image-20230816172013576.png (1.8 MB)
image-20230816172903012.png (1.8 MB)
image-20230816174550488.png (816.2 KB)
网络编程-课堂笔记.md (22.0 KB)
05-笔记-网络编程【耗时整理‖免费分享 cunlove.cn】.zip (14.4 MB)
03-代码
课堂代码
dm01_直接调用间接调用.py (595.0 B)
dm02_函数内如何缓存变量值【耗时整理‖免费分享 cunlove.cn】.py (162.0 B)
dm03_闭包的语法.py (1.0 KB)
dm04_内部函数修改外部函数的值【耗时整理‖免费分享 cunlove.cn】.py (338.0 B)
dm05_闭包练习【耗时整理‖免费分享 cunlove.cn】.py (541.0 B)
dm06_装饰器语法.py (343.0 B)
dm07_语法糖方式使用装饰器.py (412.0 B)
dm08_无参无返回值-装饰.py (785.0 B)
dm09_无参有返回值-装饰.py (420.0 B)
dm10_有参有返回值-装饰【耗时整理‖免费分享 cunlove.cn】.py (468.0 B)
dm11_不定长参数-装饰.py (555.0 B)
dm12_多个装饰器修饰同一个原函数.py (628.0 B)
dm13_课堂答疑错误.py (571.0 B)
dm14_装饰器带参数-错误语法.py (398.0 B)
dm15_装饰器带参数-正确语法.py (630.0 B)
dm15_装饰器带参数2-正确语法.py (772.0 B)
dm16_装饰器带参数-纯手工的方式进行装饰.py (772.0 B)
dm综合.py (4.6 KB)
样例
dm01_装饰器综合.py (2.0 KB)
zz01_函数名代表什么.py (658.0 B)
zz02_函数体内变量的保存.py (342.0 B)
zz03_闭包求和.py (751.0 B)
zz04_内部函数修改外部函数变量.py (421.0 B)
zz05_装饰器基本语法.py (927.0 B)
zz06_装饰器语法糖.py (483.0 B)
zz07_装饰无参无返回值.py (2.1 KB)
zz08_通用不定长装饰器.py (1.0 KB)
zz09_多个装饰器装饰同一个函数.py (600.0 B)
zz10_装饰器带参数-错误语法.py (766.0 B)
zz10_装饰器带参数.py (1.3 KB)
zz11_属性装饰器.py (1.4 KB)
05-作业
闭包与装饰器作业.md (807.0 B)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day05-网络编程下和多任务编程上
01-讲义
05_网络编程.pdf (2.9 MB)
06_1-进程.pdf (994.7 KB)
02-笔记
05-网络编程笔记.zip (14.4 MB)
06-多任务笔记
多任务编程-课堂笔记.md (23.3 KB)
images
image-20220831104026030.png (723.3 KB)
image-20230324150154469.png (137.0 KB)
image-20230324150343842.png (191.2 KB)
image-20230324150416624.png (216.8 KB)
image-20230324150527700【耗时整理‖免费分享 cunlove.cn】.png (559.0 KB)
image-20230324150601308.png (266.6 KB)
image-20230324153939873.png (266.6 KB)
image-20230324154024570.png (118.1 KB)
image-20230324155350944.png (72.9 KB)
image-20230324155830536.png (138.1 KB)
image-20230406093254424.png (289.3 KB)
image-20230406093440892.png (341.5 KB)
image-20230406102012775.png (141.1 KB)
image-20230406102139325.png (174.8 KB)
image-20230406102348857【耗时整理‖免费分享 cunlove.cn】.png (79.7 KB)
image-20230406103501293.png (97.1 KB)
image-20230406104304991.png (134.5 KB)
image-20230406104634285.png (203.9 KB)
image-20230406112921735【耗时整理‖免费分享 cunlove.cn】.png (51.6 KB)
image-20230406113601857.png (95.0 KB)
image-20230406113911395.png (66.9 KB)
image-20230406145243818.png (94.6 KB)
image-20230406151916096.png (338.3 KB)
image-20230406155421040.png (37.0 KB)
image-20230406160751379.png (140.8 KB)
image-20230816002347810.png (230.0 KB)
image-20230816002409512.png (228.1 KB)
image-20230816002728362.png (284.5 KB)
image-20230817145126572.png (740.4 KB)
image-20230817145522455.png (437.8 KB)
image-21135130829.png (79.7 KB)
image-21143135873.png (80.3 KB)
image-21143224325.png (48.3 KB)
image-21143335644.png (9.7 KB)
image-21150934101.png (52.7 KB)
image-21151134554.png (106.2 KB)
06-多任务笔记.zip (6.8 MB)
03-代码
课堂代码
dm01_单进程边代码边音乐.py (466.0 B)
dm02_多进程边代码边音乐.py (1.0 KB)
dm03_多进程带参数边代码边音乐.py (1.2 KB)
dm04_进程编号.py (1.6 KB)
dm05_进程间不共享全局变量.py (1.2 KB)
dm06_创建子进程的代码必须写在main进程里面.py (1.3 KB)
dm07_主进程等待子进程结束以后在结束.py (343.0 B)
dm08_主进程创建守候子进程.py (449.0 B)
dm09_主进程暴力结束子进程.py (467.0 B)
样例-多进程
zz01_单进程边代码边音乐.py (540.0 B)
zz02_多进程边代码边音乐.py (1.1 KB)
zz03_多进程参数边代码边音乐.py (1.1 KB)
zz04_进程编号.py (1.6 KB)
zz05_进程间不共享全局变量.py (1.0 KB)
zz06_主进程等待子进程结束后再退出.py (625.0 B)
zz07_子进程设置守候进程.py (766.0 B)
zz08_子进程主动结束子进程.py (756.0 B)
样例-网络编程
zz01_socket【耗时整理‖免费分享 cunlove.cn】.py (446.0 B)
zz02_数据类型转换.py (1.4 KB)
zz03_服务器端【耗时整理‖免费分享 cunlove.cn】.py (1.3 KB)
zz04_客户端【耗时整理‖免费分享 cunlove.cn】.py (666.0 B)
zz05_服务器-支持多个客户端.py (1.3 KB)
05-作业
多任务作业_17期.md (392.0 B)
网络编程作业.md (640.0 B)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day06-多任务编程下
01-讲义
06_2-线程.pdf (802.3 KB)
07_2Python其他高级语法.pptx (1.2 MB)
02-笔记
06-多任务笔记-带图【耗时整理‖免费分享 cunlove.cn】.zip (9.5 MB)
06_2-线程.pdf (802.3 KB)
07-python高级语法笔记.zip (3.4 MB)
03-代码
课堂代码-多线程
dm10_多线程边代码边音乐.py (983.0 B)
dm11_多线程带参数边代码边音乐.py (1.2 KB)
dm12_线程被调度是无序.py (667.0 B)
dm13_主线程会等待子线程执行完毕后在退出.py (416.0 B)
dm14_主线程创建守候子线程.py (518.0 B)
dm15_课堂答疑设置属性.py (789.0 B)
dm16_线性间共享全局变量.py (593.0 B)
dm17_两个线程操作同一块资源.py (744.0 B)
dm18_线程同步-加锁.py (833.0 B)
dm19_死锁【耗时整理‖免费分享 cunlove.cn】.py (837.0 B)
课堂代码-其他语法
dm01_文件读写常规.py (870.0 B)
dm02_上下文管理器类.py (959.0 B)
dm03_上下文管理器类.py (1.6 KB)
dm04_生成器推导式.py (636.0 B)
dm05_yield关键字.py (548.0 B)
dm06_生成器应用场景.py (1.9 KB)
jaychou_lyrics【耗时整理‖免费分享 cunlove.cn】.txt (3.3 KB)
样例-多任务
dm20_进程之间锁.py (700.0 B)
zz01_单进程边代码边音乐.py (540.0 B)
zz02_多进程边代码边音乐.py (1.1 KB)
📄 zz03_多进程参数边代码边音乐.py (1.1 KB)
📄 zz04_进程编号.py (1.6 KB)
📄 zz05_进程间不共享全局变量.py (1.0 KB)
📄 zz06_主进程等待子进程结束后再退出【耗时整理‖免费分享 cunlove.cn】.py (648.0 B)
📄 zz07_子进程设置守候进程.py (766.0 B)
📄 zz08_子进程主动结束子进程【耗时整理‖免费分享 cunlove.cn】.py (759.0 B)
📄 zz09_多线程边代码边音乐.py (846.0 B)
📄 zz10_多线程带参数边代码边音乐.py (839.0 B)
📄 zz11_线程间是无序执行的.py (610.0 B)
📄 zz12_主进程等待子线程结束后再退出.py (418.0 B)
📄 zz13_设置守候线程.py (615.0 B)
📄 zz14_线程间共享全局变量.py (745.0 B)
📄 zz15_数据安全问题.py (690.0 B)
📄 zz16_互斥锁【耗时整理‖免费分享 cunlove.cn】.py (786.0 B)
📄 zz17_死锁.py (895.0 B)
📄 zz18_other.py (1.6 KB)
📄 zz19_为什么放在_name_【耗时整理‖免费分享 cunlove.cn】.py (1.0 KB)
📁 样例-python其他语法
📄 jaychou_lyrics.txt (167.2 KB)
📄 zz11_with基本语法.py (1.1 KB)
📄 zz12_上下文管理器.py (989.0 B)
📄 zz13_上下文管理器【耗时整理‖免费分享 cunlove.cn】.py (1.1 KB)
📄 zz21_生成器推导式【耗时整理‖免费分享 cunlove.cn】.py (614.0 B)
📄 zz22_yield关键字【耗时整理‖免费分享 cunlove.cn】.py (487.0 B)
📄 zz23_生成器的使用场景.py (1.1 KB)
📄 zz31_property_装饰器方式.py (678.0 B)
📄 zz32_property_类属性方式.py (817.0 B)
📁 05-作业
📄 多任务作业-线程相关.md (691.0 B)
📄 python其他语法-作业.md (500.0 B)
📁 06-今日总结
⚠️ 无法获取目录内容或目录为空
📁 day07-正则表达式和时间复杂度
📁 01-讲义
📄 07_1Python正则表达式【耗时整理‖免费分享 cunlove.cn】.pdf (507.9 KB)
📄 07_数据结构与算法_时间复杂度.pdf (2.0 MB)
📄 08_1数据结构与算法_数据结构 .pdf (968.0 KB)
📁 02-笔记
📁 07-python高级语法笔记
📁 images
📄 image-20230819153153284.png (702.4 KB)
📁 media
📄 image-20210118135358176-0949238【耗时整理‖免费分享 cunlove.cn】.png (165.8 KB)
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📄 Python高级语法与正则表达式【耗时整理‖免费分享 cunlove.cn】.md (23.3 KB)
📄 07-python高级语法笔记.zip (3.4 MB)
📁 08-数据结构与算法
📁 images
📄 image-20230324174708066.png (1.2 MB)
📄 image-20230324174724460-9651245.png (584.8 KB)
📄 image-20230324174724460【耗时整理‖免费分享 cunlove.cn】.png (584.8 KB)
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📄 image-20230820150637401【耗时整理‖免费分享 cunlove.cn】.png (285.9 KB)
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📄 image-20230820151347623.png (399.5 KB)
📄 image-20230820163222411.png (376.5 KB)
📄 数据结构与算法.md (26.3 KB)
📄 08-数据结构与算法.zip (7.8 MB)
📁 03-代码
📁 时间复杂度样例
📄 zz01_穷举法【耗时整理‖免费分享 cunlove.cn】.py (392.0 B)
📄 zz02_算法改进【耗时整理‖免费分享 cunlove.cn】.py (354.0 B)
📄 zz03_链表.py (4.9 KB)
📁 正则表达样例
📄 zz01_re介绍.py (3.9 KB)
📄 zz02_匹配单个字符.py (2.3 KB)
📄 zz03_匹配多个字符.py (2.0 KB)
📄 zz04_匹配开头和结尾.py (1.6 KB)
📄 zz05_匹配分组.py (3.3 KB)
📄 zz06-练习.py (569.0 B)
📁 05-作业
📄 正则表达式算法复杂度-作业.md (236.0 B)
📁 06-今日总结
⚠️ 无法获取目录内容或目录为空
📁 day08-数据结构和算法
📁 01-讲义
📄 08_3数据结构与算法_链表.pdf (531.9 KB)
📄 08_4数据结构与算法_排序.pdf (2.0 MB)
📁 02-笔记
📄 08_3数据结构与算法_链表.pdf (531.9 KB)
📄 08_4数据结构与算法_排序.pdf (2.0 MB)
📁 03-代码
📁 课堂代码
📄 dm01_链表.py (4.7 KB)
📄 dm01_冒泡排序.py (1.4 KB)
📄 dm02_选择排序.py (1.4 KB)
📄 dm03_插入排序【耗时整理‖免费分享 cunlove.cn】.py (1.3 KB)
📄 dm04_快速排序.py (2.2 KB)
📁 链表样例代码
📄 zz03_链表.py (4.9 KB)
📁 排序样例代码
📄 zz01_冒泡排序.py (1.7 KB)
📄 zz02_选择排序.py (1.8 KB)
📄 zz03_插入排序.py (1.2 KB)
📄 zz04-快速排序.py (3.0 KB)
📄 zz042_快速排序2.py (2.6 KB)
📄 zz51_二分查找-递归.py (1.9 KB)
📄 zz52_二分查找-非递归.py (1.6 KB)
📁 05-作业
📄 链表和排序-作业.md (720.0 B)
📁 06-今日总结
⚠️ 无法获取目录内容或目录为空
📁 day09-数据结构和算法
📁 01-讲义
📄 08_5数据结构与算法_二分查找.pdf (558.9 KB)
📄 08_6数据结构与算法_二叉树.pdf (2.0 MB)
📁 02-笔记
📁 09-排序
📁 assets
📄 image-20210615211603353.png (152.8 KB)
📄 image-20210615214520631【耗时整理‖免费分享 cunlove.cn】.png (323.3 KB)
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📄 排序稳定性.jpg (145.7 KB)
📁 images
📄 image-20230821152101450.png (292.0 KB)
📄 image-20230822152856468.png (279.1 KB)
📄 排序-笔记.md (7.4 KB)
📄 09-排序.zip (13.4 MB)
📁 10-二叉树
📁 assets
📄 image-20210615211603353.png (152.8 KB)
📄 image-20210615214520631.png (323.3 KB)
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📄 排序稳定性.jpg (145.7 KB)
📄 二叉树-笔记.md (8.5 KB)
📁 images
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10-二叉树【耗时整理‖免费分享 cunlove.cn】.zip (27.4 MB)
03-代码
课堂代码
dm02_完全二叉树【耗时整理‖免费分享 cunlove.cn】.py (5.4 KB)
dm05_二分查找递归【耗时整理‖免费分享 cunlove.cn】.py (1.3 KB)
dm06_二分查找非递归.py (1.4 KB)
样例
zz01_完全二叉树【耗时整理‖免费分享 cunlove.cn】.py (4.8 KB)
05-作业
二分查找法和二叉树-作业.md (599.0 B)
06-今日总结
⚠️ 无法获取目录内容或目录为空
day10-复习回顾
01-讲义
01_Python面向对象基础【耗时整理‖免费分享 cunlove.cn】.pdf (2.8 MB)
02_Python面向对象高级.pdf (1.1 MB)
03_Python面向对象综合案例.pdf (550.0 KB)
03_浅拷贝和深拷贝.pdf (784.8 KB)
04_闭包和装饰器【耗时整理‖免费分享 cunlove.cn】.pdf (437.7 KB)
05_网络编程.pdf (2.9 MB)
06_1-进程.pdf (985.0 KB)
06_2-线程.pdf (802.6 KB)
07_1Python正则表达式【耗时整理‖免费分享 cunlove.cn】.pdf (582.7 KB)
07_2Python其他高级语法.pdf (675.4 KB)
08_1数据结构与算法_概念时间复杂度【耗时整理‖免费分享 cunlove.cn】.pdf (2.0 MB)
08_1数据结构与算法_数据结构【耗时整理‖免费分享 cunlove.cn】.pdf (968.0 KB)
08_2数据结构与算法_概念数据结构【耗时整理‖免费分享 cunlove.cn】.pdf (951.0 KB)
08_3数据结构与算法_链表.pdf (532.1 KB)
08_4数据结构与算法_排序.pdf (2.0 MB)
08_5数据结构与算法_二分查找.pdf (558.8 KB)
08_6数据结构与算法_二叉树.pdf (2.0 MB)
02-笔记
⚠️ 无法获取目录内容或目录为空
03-代码
课堂代码
dm01_多继承调用顺序.py (658.0 B)
dm02-练习1警察通过各种警犬工作.py (912.0 B)
dm03_装饰器.py (844.0 B)
dm13_客户端程序.py (1.4 KB)
dm14_服务器支持多个客户端.py (1.6 KB)
zz21_客户端粘包问题.py (1.8 KB)
zz22_服务器粘包问题.py (1.4 KB)
zz31_客户端粘包.py (1.2 KB)
zz32_服务器粘包.py (1.7 KB)
05-作业
⚠️ 无法获取目录内容或目录为空
06-今日总结
⚠️ 无法获取目录内容或目录为空
阶段3-数据处理与统计分析
day01
笔记
assets
image-20230826162045047.png (37.6 KB)
image-20230826162115171.png (64.5 KB)
image-20230826162128323.png (45.0 KB)
image-20230826162219370.png (24.4 KB)
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image-20230826175520613.png (58.2 KB)
image-20230826180118118.png (52.5 KB)
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image-20230826180448863【耗时整理‖免费分享 cunlove.cn】.png (47.1 KB)
image-20230826181620057.png (7.1 KB)
image-20230826193857135.png (1.9 KB)
image-20230826194019072.png (12.1 KB)
笔记.md (7.7 KB)
画图
用户权限【耗时整理‖免费分享 cunlove.cn】.png (46.2 KB)
课件
1-初识Linux.pptx (15.2 MB)
2-Linux基础命令.pptx (12.1 MB)
3-用户和权限.pptx (3.8 MB)
4-Linux实用操作.pptx (14.4 MB)
test.txt (56.0 B)
资料
01-VMware虚拟机（必装）
VMware
mac激活码【耗时整理‖免费分享 cunlove.cn】.txt (423.0 B)
Mac系统VMWare虚拟机 NAT网络设置(固定IP).pdf (627.7 KB)
VMware-Fusion-13.0.1-21139760_universal【耗时整理‖免费分享 cunlove.cn】.dmg (672.1 MB)
vmware15
01-VMware15安装.doc (412.5 KB)
VMware Keygen 14-15.exe (251.5 KB)
VMware-workstation-full-15.5.0-14665864.exe (541.1 MB)
vmware16pro
VMware-workstation-full-16.1.0-17198959.exe (621.5 MB)
序列号16.txt (95.0 B)
02-ssh工具
finalshell_install.exe (83.8 MB)
finalshell_install.pkg (120.4 MB)
day02
笔记
assets
image-20230827094628156.png (4.1 KB)
image-20230827110514160.png (82.5 KB)
image-20230827110812682.png (103.4 KB)
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image-20230827151423370.png (45.5 KB)
image-20230827151737385.png (17.5 KB)
笔记.md (10.9 KB)
Linux.xmind (173.2 KB)
课件
2-第二章-MySQL基础.pptx (6.5 MB)
code【耗时整理‖免费分享 cunlove.cn】.txt (4.5 KB)
软件
8.0.25.rar (2.2 MB)
pycharm-professional-2023.2.exe (514.6 MB)
day03
笔记
assets
image-20230829105606070.png (21.2 KB)
image-20230829111330625.png (129.2 KB)
image-20230829115049856.png (59.2 KB)
image-20230829115134383【耗时整理‖免费分享 cunlove.cn】.png (32.6 KB)
image-20230829145953734.png (18.4 KB)
image-20230829150203974.png (8.1 KB)
笔记.md (15.9 KB)
SQL.xmind (200.2 KB)
软件
mysql-installer-community-8.0.32.0.msi (437.3 MB)
资料
01-数据介绍.md (80.6 KB)
02-使用SQL进行数据汇总.md (21.2 KB)
03-使用CASE WHEN和GROUP BY将数据分组.md (44.1 KB)
报表项目数据.sql (299.3 KB)
images
image-20211203181137386.png (464.8 KB)
image-20211203181150680.png (350.2 KB)
image-20211207082501442.png (457.5 KB)
image-20211207082516886.png (339.5 KB)
image-20211207180406126.png (66.3 KB)
README.md (16.0 B)
day04
📁 笔记
📁 assets
📄 image-20230830111550275.png (179.2 KB)
📄 image-20230830111750862.png (77.3 KB)
📄 image-20230830111859383【耗时整理‖免费分享 cunlove.cn】.png (41.8 KB)
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📄 image-20230830112957911.png (70.1 KB)
📄 image-20230830170240967.png (99.4 KB)
📄 笔记.md (12.7 KB)
📁 代码
📄 01_numpy.ipynb (32.1 KB)
📄 02_Pandas入门.ipynb (19.4 KB)
📁 data
📄 movie.csv (1.5 MB)
📄 nobel_prizes.csv (124.4 KB)
📁 课件
📄 01_02 Python数据分析简介&环境搭建.pptx (4.3 MB)
📄 02-Numpy.pptx (1.1 MB)
📄 03 Pandas 数据结构.pptx (3.3 MB)
📁 软件
📄 Anaconda3-2023.07-1-MacOSX-arm64.pkg (628.1 MB)
📄 Anaconda3-2023.07-1-Windows-x86_64.exe (893.8 MB)
📁 资料
📁 assets
📄 窗口函数-1-1681494334890-1【耗时整理‖免费分享 cunlove.cn】.png (12.2 KB)
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📄 image-20220522001230496-1681494804794-35.png (85.0 KB)
📄 window-functions-window-functions-part2-ex4-1681494538411-15.gif (19.7 KB)
📄 movie.csv (1.5 MB)
📄 nobel_prizes.csv (124.4 KB)
📄 window.md (24.1 KB)
📁 day05
📁 笔记
📁 assets
📄 image-20230831101419159.png (9.3 KB)
📄 image-20230831101513455.png (8.3 KB)
📄 image-20230831165455488.png (17.8 KB)
📄 笔记.md (11.1 KB)
📄 Pandas&numpy.xmind (219.0 KB)
📁 代码
📁 .idea
📄 .name (21.0 B)
📄 workspace.xml (1.2 KB)
📄 02_Pandas入门.ipynb (297.6 KB)
📄 03_DataFrame数据分析入门.ipynb (94.9 KB)
📄 04_Pandas数据分析练习.ipynb (34.1 KB)
📁 data
📄 gapminder.tsv (80.1 KB)
📄 scientists.csv (433.0 B)
📁 课件
📄 03 Pandas 数据结构.pptx (3.3 MB)
📄 04 Pandas DataFrame入门.pptx (1.8 MB)
📄 05 Pandas数据分析入门.pptx (1.0 MB)
📁 数据
⚠️ 无法获取目录内容或目录为空
📁 day06
📁 笔记
📁 assets
📄 image-20230902105652355-1693643530189-1【耗时整理‖免费分享 cunlove.cn】.png (18.1 KB)
📄 image-20230902105652355.png (18.1 KB)
📄 image-20230902105746580.png (71.1 KB)
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📄 image-20230902172520841.png (7.5 KB)
📄 image-20230902172641130【耗时整理‖免费分享 cunlove.cn】.png (4.2 KB)
📄 笔记.md (12.6 KB)
📄 DataFrame【耗时整理‖免费分享 cunlove.cn】.xmind (241.3 KB)
📁 代码
📄 01_numpy.ipynb (32.1 KB)
📄 02_Pandas入门.ipynb (297.6 KB)
📄 03_DataFrame数据分析入门.ipynb (94.9 KB)
📄 04_Pandas数据分析练习.ipynb (34.1 KB)
📄 05_租房数据练习.ipynb (100.2 KB)
📄 06_数据连接.ipynb (53.7 KB)
📄 07_缺失值处理【耗时整理‖免费分享 cunlove.cn】.ipynb (196.8 KB)
📄 08_apply自定义函数.ipynb (32.6 KB)
📁 data
📄 chinook.db (864.0 KB)
📄 city_day.csv (2.5 MB)
📄 concat_1.csv (56.0 B)
📄 concat_2.csv (56.0 B)
📄 concat_3.csv (64.0 B)
📄 gapminder.tsv (80.1 KB)
📄 LJdata.csv (702.3 KB)
📄 movie.csv (1.5 MB)
📄 movie5.csv (1.9 KB)
📄 movie5.pkl (3.3 KB)
📄 movie5.xlsx (6.4 KB)
📄 movie5_noindex.csv (1.9 KB)
📄 movie5_noindex.tsv (1.9 KB)
📄 nobel_prizes.csv (124.4 KB)
📄 scientists.csv (433.0 B)
📄 stocks_2016.csv (65.0 B)
📄 stocks_2017.csv (108.0 B)
📄 stocks_2018.csv (71.0 B)
📄 survey_visited.csv (168.0 B)
📄 survey_visited1.csv (165.0 B)
📄 titanic_test.csv (28.0 KB)
📄 titanic_train.csv (59.8 KB)
📄 test【耗时整理‖免费分享 cunlove.cn】.ipynb (3.0 KB)
📁 课件
📄 06 数据组合.pptx (1013.7 KB)
📄 07 缺失数据处理【耗时整理‖免费分享 cunlove.cn】.pptx (525.4 KB)
📄 08 apply自定义函数.pptx (702.5 KB)
📄 09 数据分组.pptx (1.3 MB)
📄 10 数据透视表.pptx (818.7 KB)
📁 驱动sqlite
📄 sqlite-jdbc-3.43.0.0.jar (12.6 MB)
📁 数据
📄 chinook.db (864.0 KB)
📄 city_day【耗时整理‖免费分享 cunlove.cn】.csv (2.5 MB)
📄 concat_1.csv (56.0 B)
📄 concat_2.csv (56.0 B)
📄 concat_3【耗时整理‖免费分享 cunlove.cn】.csv (64.0 B)
📄 LJdata.csv (702.3 KB)
📄 sales【耗时整理‖免费分享 cunlove.cn】.xlsx (15.3 MB)
📄 stocks_2016.csv (65.0 B)
📄 stocks_2017.csv (108.0 B)
📄 stocks_2018.csv (71.0 B)
📄 survey_visited.csv (168.0 B)
📄 tips.csv (7.8 KB)
📄 titanic_test【耗时整理‖免费分享 cunlove.cn】.csv (28.0 KB)
📄 titanic_train.csv (59.8 KB)
📄 weight_loss.csv (631.0 B)
📁 作业
📄 chinook【耗时整理‖免费分享 cunlove.cn】.png (233.9 KB)
📄 今日作业.md (1.2 KB)
📁 day07
📁 笔记
📁 assets
📄 image-20230903093048874.png (10.5 KB)
📄 image-20230903111822014【耗时整理‖免费分享 cunlove.cn】.png (7.7 KB)
📄 image-20230903112123650.png (10.3 KB)
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📄 image-20230903154126523.png (34.9 KB)
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📄 image-20230903161033577.png (66.2 KB)
📄 image-20230903161136371.png (22.7 KB)
📄 image-20230903161157708.png (32.4 KB)
📄 image-20230903161416302.png (7.3 KB)
📄 image-20230903161503502【耗时整理‖免费分享 cunlove.cn】.png (49.4 KB)
📄 image-20230903182711641.png (23.1 KB)
📄 笔记.md (17.2 KB)
📄 DataFrame.xmind (240.1 KB)
📁 代码
📄 08_apply自定义函数.ipynb (41.4 KB)
📄 09_数据分组.ipynb (62.4 KB)
📄 10_零售会员分析和数据透视表.ipynb (604.9 KB)
📁 data
📄 会员消费报表.xlsx (12.7 MB)
📄 会员信息查询.xlsx (65.7 MB)
📄 门店信息表【耗时整理‖免费分享 cunlove.cn】.XLSX (67.2 KB)
📄 全国销售订单数量表.xlsx (239.9 KB)
📄 tips.csv (7.8 KB)
📄 weight_loss【耗时整理‖免费分享 cunlove.cn】.csv (631.0 B)
📁 day08
📁 笔记
📁 assets
📄 image-20230905112147497.png (36.1 KB)
📄 image-20230905112156977【耗时整理‖免费分享 cunlove.cn】.png (31.0 KB)
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📄 image-20230905173404220【耗时整理‖免费分享 cunlove.cn】.png (65.1 KB)
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📄 image-20230905173457270.png (27.5 KB)
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📄 image-20230905173540498.png (47.2 KB)
📄 image-20230905181355351.png (25.5 KB)
📄 image-20230905183506956.png (53.4 KB)
📄 笔记.md (17.5 KB)
📄 DataFrame.xmind (248.3 KB)
📁 代码
📄 10_零售会员分析和数据透视表.ipynb (624.3 KB)
📄 11_日期时间类型.ipynb (335.2 KB)
📄 12_Matplotlib绘图.ipynb (273.0 KB)
📄 13_Pandas的数据可视化【耗时整理‖免费分享 cunlove.cn】.ipynb (191.7 KB)
📁 data
📄 anscombe.csv (556.0 B)
📄 banklist.csv (45.1 KB)
📄 country_timeseries.csv (5.5 KB)
📄 crime.csv (42.9 MB)
📄 TSLA.csv (122.5 KB)
📄 winemag-data_first150k.csv (47.5 MB)
📁 课件
📄 11 datetime数据类型.pptx (841.0 KB)
📄 12 Matplotlib绘图.pptx (719.3 KB)
📄 13 Pandas绘图.pptx (918.5 KB)
📁 day09
📁 笔记
📁 assets
📄 image-20230906093431827.png (14.1 KB)
📄 image-20230906093440683.png (37.3 KB)
📄 image-20230906093536874.png (27.3 KB)
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📄 image-20230906144553264.png (107.6 KB)
📄 image-20230906144617562.png (107.3 KB)
📄 image-20230906145827647.png (48.8 KB)
📄 笔记.md (45.7 KB)
📄 DataFrame【耗时整理‖免费分享 cunlove.cn】.xmind (232.9 KB)
📁 代码
📄 13_Pandas的数据可视化【耗时整理‖免费分享 cunlove.cn】.ipynb (779.2 KB)
📄 14_seaborn可视化.ipynb (1.1 MB)
📄 15_RFM案例.ipynb (63.4 KB)
📁 数据
📄 sales.xlsx (15.3 MB)
📁 课件
📄 14 Seaborn绘图.pptx (1.4 MB)
📄 15 综合案例_RFM会员价值度模型案例.pptx (1.0 MB)
📁 day10
📁 笔记
📄 笔记.md (6.8 KB)
📄 DataFrame.xmind (264.2 KB)
📁 代码
📄 16_appstore数据分析.ipynb (487.8 KB)
📄 17_优衣库销售数据分析.ipynb (73.1 KB)
📁 data
📄 applestore.csv (590.1 KB)
📄 uniqlo【耗时整理‖免费分享 cunlove.cn】.csv (1.2 MB)
📁 课件
📄 Appstore数据分析.md (12.0 KB)
📁 assets
📄 app_plot10.png (37.4 KB)
📄 appstore1.png (32.6 KB)
📄 appstore2.png (9.7 KB)
📄 appstore3.png (5.3 KB)
📄 appstore4.png (8.7 KB)
📄 appstore5.png (10.2 KB)
📄 appstore6【耗时整理‖免费分享 cunlove.cn】.png (12.6 KB)
📄 appstore7.png (32.9 KB)
📄 appstore8【耗时整理‖免费分享 cunlove.cn】.png (7.4 KB)
📄 appstore9【耗时整理‖免费分享 cunlove.cn】.png (63.0 KB)
📄 appstore10.png (30.6 KB)
📄 image-20230424015521067.png (28.3 KB)
📄 image-20230424020619932.png (87.6 KB)
📄 优衣库数据分析需求.md (1.1 KB)
📄 优衣库销售数据分析.md (44.6 KB)
📁 阶段4-机器学习与多场景项目实战
📁 01-机器学习概述
📁 01-讲义
📄 机器学习概述【耗时整理‖免费分享 cunlove.cn】.pptx (12.2 MB)
📁 02-笔记
📄 image-20230830173907526.png (496.9 KB)
📁 images
📄 01.png (1.2 MB)
📄 04.jpg (55.8 KB)
📄 image-20220117155634566.png (89.2 KB)
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📄 image-20230830173907526.png (496.9 KB)
📄 image-20230830174027227【耗时整理‖免费分享 cunlove.cn】.png (1.3 MB)
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📄 image-20230909170335989.png (129.4 KB)
📄 image-20230909171155534.png (20.4 KB)
📄 intro2.jpg (407.9 KB)
📄 机器学习概述.md (13.4 KB)
📁 03-代码
📁 .idea
📄 .gitignore (176.0 B)
📄 03-代码.iml (284.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 Project_Default.xml (2.8 KB)
📄 misc.xml (195.0 B)
📄 modules.xml (270.0 B)
📄 workspace【耗时整理‖免费分享 cunlove.cn】.xml (1.9 KB)
📁 05-作业
📄 作业【耗时整理‖免费分享 cunlove.cn】.md (919.0 B)
📁 06-今日总结
📁 人工智能概述.mindnode
📄 contents【耗时整理‖免费分享 cunlove.cn】.xml (59.7 KB)
📁 QuickLook
📄 Preview.jpg (146.7 KB)
📁 resources
⚠️ 无法获取目录内容或目录为空
📁 style.mindnodestyle
📄 contents.xml (6.4 KB)
📄 metadata.plist (391.0 B)
📄 viewState.plist (178.0 B)
📁 02-KNN算法
📁 01-讲义
📄 KNN算法【耗时整理‖免费分享 cunlove.cn】.pptx (9.3 MB)
📁 02-笔记
📁 images
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📄 image-20230910154650041.png (87.3 KB)
📄 KNN算法.md (11.5 KB)
📁 03-代码
📄 01-KNN API 实验.py (472.0 B)
📄 02-特征预处理.py (365.0 B)
📄 03-knn_iris.py (1.4 KB)
📄 04-GridSearchCV.py (1.0 KB)
📄 05-knn digit.py (1.2 KB)
📄 demo.png (252.0 B)
📄 knn.pth (201.2 MB)
📄 手写数字识别.csv (73.2 MB)
📁 05-作业
📄 作业【耗时整理‖免费分享 cunlove.cn】.md (3.1 KB)
📁 06-今日总结
📁 KNN算法.mindnode
📄 contents.xml (52.3 KB)
📁 QuickLook
📄 Preview.jpg (161.1 KB)
📁 resources
⚠️ 无法获取目录内容或目录为空
📁 style.mindnodestyle
📄 contents.xml (6.4 KB)
📄 metadata【耗时整理‖免费分享 cunlove.cn】.plist (391.0 B)
📄 viewState.plist (153.0 B)
📁 03-线性回归
📁 01-讲义
📄 线性回归.pptx (13.2 MB)
📁 02-笔记
📁 images
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l2_7.png (10.1 KB)
mae.png (16.4 KB)
mse.png (16.5 KB)
rmse.png (20.5 KB)
rmse2.png (61.9 KB)
rmse3.png (58.5 KB)
线性回归.md (26.4 KB)
03-代码
.idea
.gitignore (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules【耗时整理‖免费分享 cunlove.cn】.xml (270.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (7.6 KB)
01-LR API.py (336.0 B)
02-boston.py (1.2 KB)
03-拟合效果.py (3.3 KB)
breast-cancer-wisconsin.csv (19.6 KB)
波士顿房价xy.csv (38.3 KB)
05-作业
作业.md (2.3 KB)
06-今日总结
线性回归.mindnode
contents.xml (42.8 KB)
QuickLook
Preview.jpg (183.0 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata【耗时整理‖免费分享 cunlove.cn】.plist (391.0 B)
viewState.plist (148.0 B)
04-逻辑回归
01-讲义
逻辑回归.pptx (4.7 MB)
02-笔记
image-20230904151300483.png (83.6 KB)
images
05.png (12.8 KB)
06.png (11.7 KB)
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逻辑回归.md (15.9 KB)
03-代码
.idea
.gitignore【耗时整理‖免费分享 cunlove.cn】 (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (270.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (9.6 KB)
01-LR cancer.py (912.0 B)
02- classmetirc.py (1.1 KB)
03-churn.py (1.1 KB)
breast-cancer-wisconsin.csv (19.6 KB)
churn【耗时整理‖免费分享 cunlove.cn】.csv (314.2 KB)
05-作业
作业.md (2.5 KB)
06-今日总结
逻辑回归.mindnode
contents.xml (18.6 KB)
QuickLook
Preview【耗时整理‖免费分享 cunlove.cn】.jpg (195.6 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata.plist (391.0 B)
viewState.plist (147.0 B)
05-决策树
01-讲义
决策树.pptx (6.4 MB)
02-笔记
images
01.png (433.1 KB)
08.png (37.5 KB)
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wpsarP0jT.png (202.0 KB)
决策树.md (26.3 KB)
03-代码
.idea
.gitignore (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc【耗时整理‖免费分享 cunlove.cn】.xml (195.0 B)
modules.xml (270.0 B)
workspace.xml (6.7 KB)
01-titanic.py (864.0 B)
02-RegressionTree.py (998.0 B)
titanic
gender_submission.csv (3.2 KB)
train【耗时整理‖免费分享 cunlove.cn】.csv (59.8 KB)
05-作业
images
image-20220530202122503-3913284.png (147.5 KB)
作业.md (4.9 KB)
06-今日总结
决策树.mindnode
contents.xml (39.6 KB)
QuickLook
Preview.jpg (272.7 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.5 KB)
metadata【耗时整理‖免费分享 cunlove.cn】.plist (390.0 B)
viewState.plist (179.0 B)
06-集成学习
01-讲义
集成学习.pptx (10.7 MB)
02-笔记
images
01.png (314.2 KB)
02.png (379.2 KB)
06.png (41.2 KB)
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2021-1.png (443.0 KB)
2021-2【耗时整理‖免费分享 cunlove.cn】.png (693.2 KB)
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boosting2.png (126.0 KB)
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boosting6.png (214.1 KB)
boosting7【耗时整理‖免费分享 cunlove.cn】.png (151.0 KB)
image-20230905233552550.png (1.1 MB)
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image-20230905235742221.png (467.9 KB)
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image-20230906170712026.png (565.3 KB)
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image-20230906170804514.png (373.5 KB)
image-20230906184748265.png (326.0 KB)
image-20230906184836062.png (192.2 KB)
image-20230917143542540.png (199.1 KB)
集成学习.md (33.3 KB)
03-代码
.idea
.gitignore (176.0 B)
03-代码【耗时整理‖免费分享 cunlove.cn】.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (270.0 B)
workspace.xml (9.8 KB)
01-RandomForest.py (1.3 KB)
02-adaboost.py (575.0 B)
03-GBDT.py (819.0 B)
04-Xgboost.py (1.2 KB)
data
红酒品质分类.csv (98.6 KB)
titanic
gender_submission【耗时整理‖免费分享 cunlove.cn】.csv (3.2 KB)
test.csv (28.0 KB)
train.csv (59.8 KB)
wine0501【耗时整理‖免费分享 cunlove.cn】.csv (11.2 KB)
红酒品质分类_test.csv (19.9 KB)
红酒品质分类_train【耗时整理‖免费分享 cunlove.cn】.csv (78.3 KB)
05-作业
作业.md (7.0 KB)
06-今日总结
集成学习.mindnode
contents【耗时整理‖免费分享 cunlove.cn】.xml (59.2 KB)
QuickLook
Preview【耗时整理‖免费分享 cunlove.cn】.jpg (177.0 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.5 KB)
metadata.plist (394.0 B)
viewState.plist (178.0 B)
07-朴素贝叶斯和特征降维
01-讲义
朴素贝叶斯.pptx (1.1 MB)
特征降维.pptx (1.3 MB)
02-笔记
images
01.png (72.9 KB)
03【耗时整理‖免费分享 cunlove.cn】.png (20.9 KB)
04.png (22.8 KB)
14.png (87.9 KB)
15.png (29.7 KB)
16.png (485.0 KB)
image-20230906224506412.png (597.9 KB)
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spm.png (41.7 KB)
朴素贝叶斯【耗时整理‖免费分享 cunlove.cn】.md (7.3 KB)
特征降维.md (4.3 KB)
03-代码
.idea
.gitignore (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (270.0 B)
workspace.xml (6.7 KB)
01-bayes.py (1.1 KB)
02-featureexture.py (684.0 B)
垃圾邮件分类数据.csv (47.8 MB)
书籍评价.csv (540.0 B)
stopwords.txt (11.5 KB)
05-作业
作业.md (1.3 KB)
06-今日总结
⚠️ 无法获取目录内容或目录为空
08-聚类kmeans算法
01-讲义
聚类.pptx (4.6 MB)
02-笔记
images
image-20230907095150331.png (507.1 KB)
image-20230907095330384【耗时整理‖免费分享 cunlove.cn】.png (163.1 KB)
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聚类【耗时整理‖免费分享 cunlove.cn】.md (10.6 KB)
03-代码
.idea
.gitignore (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules【耗时整理‖免费分享 cunlove.cn】.xml (270.0 B)
workspace.xml (8.6 KB)
01-kmeans API【耗时整理‖免费分享 cunlove.cn】.py (562.0 B)
02- kmeans metric【耗时整理‖免费分享 cunlove.cn】.py (954.0 B)
03-customers.py (1.3 KB)
data
customers.csv (3.9 KB)
factor_returns【耗时整理‖免费分享 cunlove.cn】.csv (309.0 KB)
05-作业
作业.md (5.1 KB)
06-今日总结
聚类算法.mindnode
contents.xml (45.1 KB)
QuickLook
Preview.jpg (206.4 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata.plist (391.0 B)
viewState【耗时整理‖免费分享 cunlove.cn】.plist (178.0 B)
09-支持向量机SVM
01-讲义
支持向量机SVM.pptx (9.8 MB)
02-笔记
images
06.png (95.7 KB)
07【耗时整理‖免费分享 cunlove.cn】.png (230.8 KB)
08.png (177.6 KB)
09.png (152.1 KB)
10.png (431.0 KB)
11.png (190.2 KB)
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image-20230907175629131.png (262.2 KB)
image-20230907175700398.png (262.2 KB)
image-20230907175708063.png (269.0 KB)
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J1Ov4Ib5gezgDtBUSOOCaw【耗时整理‖免费分享 cunlove.cn】.png (19.0 KB)
支持向量机.md (14.4 KB)
03-代码
.idea
.gitignore【耗时整理‖免费分享 cunlove.cn】 (176.0 B)
03-代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (270.0 B)
workspace.xml (8.0 KB)
01-svm api.py (846.0 B)
02-C.py (1.2 KB)
03-RBF【耗时整理‖免费分享 cunlove.cn】.py (1.2 KB)
__pycache__
plot_util.cpython-37.pyc (1.6 KB)
plot_util.py (1.6 KB)
05-作业
⚠️ 无法获取目录内容或目录为空
06-今日总结
⚠️ 无法获取目录内容或目录为空
10-机器学习案例
01-案例介绍
images
image-20230907193254546.png (482.8 KB)
image-20230907200341280.png (88.4 KB)
image-20230907200400379.png (84.8 KB)
otto案例介绍 — Otto Group Product Classification Challenge.md (1.1 KB)
02-代码
test.csv (26.6 MB)
test.csv.zip (4.0 MB)
train.csv (11.9 MB)
train.csv.zip (1.7 MB)
课前说明.mindnode
contents.xml (53.9 KB)
QuickLook
Preview.jpg (201.1 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata.plist (391.0 B)
viewState【耗时整理‖免费分享 cunlove.cn】.plist (147.0 B)
阶段5-金融风控项目与数据挖掘
day01
笔记
assets
fk2.png (39.4 KB)
fk3.png (39.8 KB)
fk4.png (31.4 KB)
image-20230923155029842.png (63.5 KB)
image-20230923155133299.png (85.1 KB)
image-20230923155251394.png (38.4 KB)
笔记.md (26.5 KB)
代码
.idea
.gitignore (184.0 B)
dataSources
f54f9415-b508-4d79-a8fc-0f2518dd6a66
storage_v2
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schema
information_schema.FNRwLQ.meta (76.0 B)
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dataSources【耗时整理‖免费分享 cunlove.cn】.xml (530.0 B)
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inspectionProfiles
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modules【耗时整理‖免费分享 cunlove.cn】.xml (271.0 B)
sqldialects.xml (174.0 B)
workspace.xml (3.3 KB)
01_业务数据处理案例.ipynb (56.6 KB)
02_业务规则挖掘【耗时整理‖免费分享 cunlove.cn】.ipynb (175.4 KB)
03_特征构造【耗时整理‖免费分享 cunlove.cn】.ipynb (2.6 MB)
04_特征筛选.ipynb (41.9 KB)
05_逻辑回归评分卡【耗时整理‖免费分享 cunlove.cn】.ipynb (126.8 KB)
06_Histogram-based_Gradient_Boosting.ipynb (243.9 KB)
07_lightGBM的API.ipynb (175.7 KB)
08_LightGBM评分卡.ipynb (44.7 KB)
09_整体流程梳理.ipynb (762.2 KB)
10_样本不均衡问题处理.ipynb (45.3 KB)
11_异常点检测.ipynb (69.3 KB)
12_拒绝推断.ipynb (73.2 KB)
13_模型可解释性.ipynb (660.3 KB)
14_GBDT特征交叉.ipynb (175.9 KB)
data
appli_reject.txt (8.1 MB)
Bcard.txt (18.9 MB)
BostonHousing.csv (34.9 KB)
germancredit.csv (261.3 KB)
rule_data.xlsx (8.5 MB)
scorecard.txt (18.2 MB)
textdata.xlsx (10.5 KB)
train_woe.pkl (131.4 MB)
业务数据.xlsx (404.3 KB)
dt.dot (611.0 B)
render.html (11.3 KB)
课件
风控报表_sql.md (14.2 KB)
img
loan4.png (14.5 KB)
loan5.png (18.1 KB)
loan6.png (16.7 KB)
loan7.png (18.2 KB)
金融风控项目.pptx (5.7 MB)
数据
loan.sql (2.2 MB)
业务数据【耗时整理‖免费分享 cunlove.cn】.xlsx (404.3 KB)
day02
笔记
assets
⚠️ 无法获取目录内容或目录为空
笔记.md (72.8 KB)
金融风控业务概述.xmind (167.4 KB)
代码
.idea
代码.iml (291.0 B)
misc.xml (324.0 B)
modules.xml (271.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (1.2 KB)
01_业务规则【耗时整理‖免费分享 cunlove.cn】.ipynb (230.5 KB)
data
rule_data【耗时整理‖免费分享 cunlove.cn】.xlsx (8.5 MB)
软件
windows_10_cmake_Release_graphviz-install-2.50.0-win64.exe (4.5 MB)
数据
rule_data.xlsx (8.5 MB)
vintage.xlsx (16.2 KB)
day03
笔记
assets
image-20230515110240256.png (122.6 KB)
image-20230926144332412.png (39.4 KB)
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笔记.md (28.5 KB)
风控建模概述.xmind (233.1 KB)
代码
03_特征构造.ipynb (2.6 MB)
课件
金融风控项目 – 02.pptx (4.6 MB)
数据
germancredit.csv (261.3 KB)
textdata.xlsx (10.5 KB)
day04
笔记
assets
image-20230927101411930.png (3.1 KB)
image-20230927101426730.png (2.0 KB)
image-20230927160521224.png (28.7 KB)
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r2.png (20.4 KB)
r2_2.png (51.2 KB)
r2_3.png (54.0 KB)
笔记.md (16.7 KB)
特征工程.xmind (212.3 KB)
代码
04_特征筛选.ipynb (41.9 KB)
05_逻辑回归评分卡.ipynb (127.4 KB)
课件
金融风控项目 – 03.pptx (7.2 MB)
数据
01_Histogram-based_Gradient_Boosting【耗时整理‖免费分享 cunlove.cn】.ipynb (197.9 KB)
Bcard.txt (18.9 MB)
train_woe.pkl (131.4 MB)
day05
笔记
assets
image-20230928112426202.png (18.2 KB)
image-20230928113321647.png (33.8 KB)
笔记.md (11.8 KB)
评分卡【耗时整理‖免费分享 cunlove.cn】.xmind (96.9 KB)
特征工程.xmind (51.3 KB)
代码
06_Histogram-based_Gradient_Boosting.ipynb (197.9 KB)
07_lightGBM的API.ipynb (166.5 KB)
08_LightGBM评分卡【耗时整理‖免费分享 cunlove.cn】.ipynb (44.7 KB)
day06
笔记
assets
image-20220517012341858.png (20.1 KB)
笔记.md (474.0 KB)
评分卡.xmind (202.3 KB)
代码
09_整体流程梳理.ipynb (761.7 KB)
10_样本不均衡问题处理.ipynb (45.3 KB)
11_异常点检测.ipynb (17.0 KB)
课件
金融风控项目 – 04.pptx (2.7 MB)
数据
Bcard.txt (18.9 MB)
scorecard.txt (18.2 MB)
day07
笔记
assets
image-20220519041747951.png (24.6 KB)
image-20220519041922701.png (4.4 KB)
image-20220519043413900.png (19.5 KB)
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shap13.png (34.1 KB)
shap14.png (19.5 KB)
笔记.md (17.1 KB)
day06.xmind (185.8 KB)
代码
12_拒绝推断.ipynb (73.2 KB)
13_模型可解释性【耗时整理‖免费分享 cunlove.cn】.ipynb (618.3 KB)
14_GBDT特征交叉.ipynb (175.9 KB)
课件
特征交叉
assets
1473228-20180917183111311-2021770645.png (45.7 KB)
image-20220519055949947.png (21.0 KB)
image-20220519060357058.png (21.0 KB)
image-20220519062201606【耗时整理‖免费分享 cunlove.cn】.png (20.6 KB)
树模型特征衍生.md (9.8 KB)
数据
appli_reject.txt (8.1 MB)
BostonHousing.csv (34.9 KB)
实战
笔记.md (1.5 KB)
软件
Git-2.39.1-64-bit.exe (50.5 MB)
TortoiseGit-2.13.0.1-64bit【耗时整理‖免费分享 cunlove.cn】.msi (20.2 MB)
TortoiseGit-LanguagePack-2.13.0.0-64bit-zh_CN.msi (4.2 MB)
实战文档
风控实战
assets
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人才流失预测
.idea
.gitignore (190.0 B)
deployment.xml (636.0 B)
inspectionProfiles
Project_Default【耗时整理‖免费分享 cunlove.cn】.xml (431.0 B)
misc.xml (339.0 B)
modules.xml (471.0 B)
人才流失预测.iml (413.0 B)
workspace.xml (2.0 KB)
人才流失模型-实战【耗时整理‖免费分享 cunlove.cn】.ipynb (271.6 KB)
test.csv (47.0 KB)
test2.csv (47.7 KB)
train.csv (149.3 KB)
天猫复购预测
.idea
modules.xml (295.0 B)
天猫复购预测.iml (291.0 B)
data_format1
test_format1.csv (3.1 MB)
train_format1.csv (3.4 MB)
user_info_format1.csv (4.3 MB)
user_log_format1.csv (1.8 GB)
data_format1.zip (360.2 MB)
data_format2.zip (353.6 MB)
test_v1.csv (9.3 MB)
天猫复购预测-实战.ipynb (15.0 KB)
train_v1.csv (9.5 MB)
user_log_format1.pkl (995.2 MB)
项目文档
风控项目文档.pdf (1.3 MB)
阶段6-深度学习基础
01.讲义
00-深度学习简介【耗时整理‖免费分享 cunlove.cn】.pptx (1.7 MB)
01-PyTorch基本使用.pptx (2.0 MB)
02-神经网络基础.pptx (4.5 MB)
03-卷积神经网络.pptx (4.0 MB)
04-循环神经网络.pptx (1.8 MB)
GPU开发环境.pdf (1.7 MB)
02.code
01-pytorch的应用
.idea
.gitignore (176.0 B)
01-pytorch的应用.iml (284.0 B)
inspectionProfiles
profiles_settings【耗时整理‖免费分享 cunlove.cn】.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (290.0 B)
workspace.xml (11.0 KB)
01-张量的创建.py (1.6 KB)
02-张量的运算【耗时整理‖免费分享 cunlove.cn】.py (741.0 B)
03-张量的索引操作.py (429.0 B)
04-张量的形状调整.py (887.0 B)
05-自动微分模块.py (608.0 B)
06-案例.py (1.6 KB)
02-神经网络
.idea
.gitignore (176.0 B)
02-神经网络.iml (284.0 B)
inspectionProfiles
profiles_settings【耗时整理‖免费分享 cunlove.cn】.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (282.0 B)
workspace.xml (11.0 KB)
01-激活函数.py (933.0 B)
02-参数初始化.py (479.0 B)
03-model.py (681.0 B)
04-损失函数【耗时整理‖免费分享 cunlove.cn】.py (783.0 B)
05-BP.py (1.0 KB)
06-EMP.py (466.0 B)
07-sgd.py (781.0 B)
08-lr.py (719.0 B)
09-dropout.py (180.0 B)
10-案例【耗时整理‖免费分享 cunlove.cn】.py (2.9 KB)
data
phone-price-model.bin (145.8 KB)
phone.pth (145.8 KB)
phone2.bin (145.8 KB)
phone2.pth (15.7 KB)
手机价格预测.csv (119.5 KB)
03-CNN
.idea
.gitignore (176.0 B)
03-CNN.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default【耗时整理‖免费分享 cunlove.cn】.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (264.0 B)
workspace.xml (9.3 KB)
01-img【耗时整理‖免费分享 cunlove.cn】.py (295.0 B)
02-conv.py (475.0 B)
03-pool.py (450.0 B)
04-图像分类.py (3.0 KB)
data
cifar-10-batches-py
batches【耗时整理‖免费分享 cunlove.cn】.meta (158.0 B)
data_batch_1 (29.6 MB)
data_batch_2 (29.6 MB)
data_batch_3【耗时整理‖免费分享 cunlove.cn】 (29.6 MB)
data_batch_4 (29.6 MB)
data_batch_5 (29.6 MB)
readme.html (88.0 B)
test_batch (29.6 MB)
image_classification【耗时整理‖免费分享 cunlove.cn】.pth (320.4 KB)
img.jpg (90.2 KB)
img_cls.pth (320.4 KB)
girl.jpg (77.1 KB)
04-RNN
.idea
.gitignore (176.0 B)
04-RNN【耗时整理‖免费分享 cunlove.cn】.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (264.0 B)
workspace.xml (6.6 KB)
01-emb.py (361.0 B)
02-rnn.py (183.0 B)
03-文本生成.py (5.5 KB)
data
jaychou_lyrics.txt (167.2 KB)
lyrics_model_2【耗时整理‖免费分享 cunlove.cn】.pth (8.8 MB)
03.笔记
01-pytorch框架.md (5.4 KB)
02-神经网络.md (7.3 KB)
03-CNN.md (837.0 B)
04-RNN【耗时整理‖免费分享 cunlove.cn】.md (461.0 B)
images
image-20231014161714411.png (541.6 KB)
image-20231014174948509【耗时整理‖免费分享 cunlove.cn】.png (85.0 KB)
image-20231016153458360.png (656.5 KB)
image-20231016155344456.png (926.4 KB)
image-20231017090951272.png (198.0 KB)
image-20231017095819938.png (49.0 KB)
image-20231017101536776.png (525.7 KB)
image-20231017102152264.png (484.5 KB)
image-20231017102832154.png (608.9 KB)
image-20231017111057003.png (280.1 KB)
image-20231017114221875.png (377.1 KB)
image-20231017115217078.png (627.1 KB)
05.作业
01-pytorch框架【耗时整理‖免费分享 cunlove.cn】.txt (202.0 B)
02-神经网络.txt (433.0 B)
03-CNN【耗时整理‖免费分享 cunlove.cn】.txt (128.0 B)
04-RNN.txt (125.0 B)
课前说明.mindnode
contents【耗时整理‖免费分享 cunlove.cn】.xml (30.6 KB)
QuickLook
Preview.jpg (257.9 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata.plist (391.0 B)
viewState.plist (151.0 B)
深度学习.mindnode
contents【耗时整理‖免费分享 cunlove.cn】.xml (90.1 KB)
QuickLook
Preview.jpg (109.1 KB)
resources
⚠️ 无法获取目录内容或目录为空
style.mindnodestyle
contents.xml (6.4 KB)
metadata【耗时整理‖免费分享 cunlove.cn】.plist (391.0 B)
viewState.plist (178.0 B)
深度学习.pdf (46.2 KB)
阶段7-自然语言处理基础
day01_NLP概述-文本预处理上
1.讲义
01-自然语言处理概念.pdf (1.2 MB)
02-文本预处理-上.pdf (2.1 MB)
2.笔记
01-配置PyCharm连接远程服务器解释器.pdf (6.8 MB)
3.代码
课堂代码
dm01_jieba分词【耗时整理‖免费分享 cunlove.cn】.py (2.5 KB)
dm02_文本张量onehot【耗时整理‖免费分享 cunlove.cn】.py (3.1 KB)
dm03_fasttext训练词向量【耗时整理‖免费分享 cunlove.cn】.py (2.5 KB)
dm04_词向量可视化【耗时整理‖免费分享 cunlove.cn】.py (3.0 KB)
预习代码
cn_data
dev.tsv (236.9 KB)
SimHei.ttf (9.6 MB)
train.tsv (707.4 KB)
data
enwik9.zip (307.6 MB)
vocab100.csv (1.0 KB)
wikifil.pl (1.9 KB)
samp01_jieba分词.py (2.8 KB)
samp02_文本张量onehot.py (3.0 KB)
samp03_fasttext训练词向量【耗时整理‖免费分享 cunlove.cn】.py (4.0 KB)
samp04_embedding词嵌入层.py (5.9 KB)
userdict【耗时整理‖免费分享 cunlove.cn】.txt (76.0 B)
5.作业
day01作业.md (590.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
7.pycharm工具包
pycharm
ide-eval-resetter-2.3.5.zip (47.4 KB)
pycharm-professional-2021.2.1.dmg (598.3 MB)
pycharm-professional-2021.2.1.exe (463.6 MB)
day02_文本预处理下
1.讲义
03-文本预处理-下.pdf (1.5 MB)
2.笔记
文本预处理纪要
img2
image-20231022085418087.png (1.6 MB)
image-20231022120024389【耗时整理‖免费分享 cunlove.cn】.png (1.1 MB)
image-20231022160712035.png (1.1 MB)
image-20231022184725886.png (639.2 KB)
课堂纪要day01.md (8.5 KB)
3.代码
课堂代码
dm01_rnn.py (9.7 KB)
dm05_文本数据分析.py (4.6 KB)
dm06_添加常见特征处理.py (411.0 B)
预习代码
samp05_文本数据分析.py (10.0 KB)
samp06_文本特征处理.py (2.2 KB)
samp07_文本数据增强.py (1.4 KB)
5.作业
day02作业.md (948.0 B)
6.今日总结
01-文本预处理知识体系梳理.xmind (2.8 MB)
day03_RNN及其变体
1.讲义
04-RNN及其变体.pdf (3.0 MB)
2.笔记
人名分类器课堂纪要
img
image-20211019094430100(1).png (585.0 KB)
image-20211019094430100.png (585.0 KB)
image-20211019155146051.png (612.5 KB)
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image-20220714173859649.png (143.9 KB)
image-20220716154453854(1).png (1.2 MB)
image-20220716154453854.png (1.2 MB)
image-20220716164520356(1).png (822.2 KB)
image-20220716164520356.png (822.2 KB)
img2
image-20231025120743649-8214743.png (1.3 MB)
image-20231025120743649.png (1.3 MB)
image-20231025121810897.png (974.9 KB)
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image-20231025162210644.png (615.6 KB)
image-20231025162944661.png (1.0 MB)
人名分类器纪要.md (1.6 KB)
tmp
1个1个的送入和10个单词一次性输入结果相等实验.png (704.8 KB)
20211017.png (247.0 KB)
注意力计算图.png (80.4 KB)
RNN课堂纪要
img
image-20211017110156760.png (556.2 KB)
image-20211017111339876.png (634.6 KB)
image-20211017111552633【耗时整理‖免费分享 cunlove.cn】.png (978.1 KB)
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img2
image-20231023150155634.png (667.2 KB)
image-20231023163354225.png (913.5 KB)
image-20231025091136587.png (1.2 MB)
image-20231025091617911【耗时整理‖免费分享 cunlove.cn】.png (1.1 MB)
image-20231025091844501【耗时整理‖免费分享 cunlove.cn】.png (1.0 MB)
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image-20231025104646969.png (337.0 KB)
image-20231025120743649【耗时整理‖免费分享 cunlove.cn】.png (1.3 MB)
image-20231025121810897.png (974.9 KB)
image-20231025142836499.png (1.3 MB)
rnn课堂纪要.md (2.6 KB)
3.代码
课堂代码
dm01_nameclass-数据处理三部曲.py (4.1 KB)
dm01_nameclass-添加rnn【耗时整理‖免费分享 cunlove.cn】.py (6.6 KB)
dm01_nameclass【耗时整理‖免费分享 cunlove.cn】.py (21.0 KB)
预习代码
samp01_nameclass.py (26.4 KB)
samp01_rnn.py (8.2 KB)
samp02_lstm.py (1.3 KB)
samp03_gru.py (1.2 KB)
5.作业
day03作业【耗时整理‖免费分享 cunlove.cn】.md (524.0 B)
6.今日总结
02-RNN及其变体知识体系梳理.xmind (4.7 MB)
day04_案例人名分类器
1.讲义
01-注意力机制图-数据形状.png (123.7 KB)
02-bmm意义解读.png (315.8 KB)
05-RNN案例人名分类器【耗时整理‖免费分享 cunlove.cn】.pdf (3.0 MB)
服务器上模型训练操作实战2.pdf (2.4 MB)
实验课GPU设备上模型训练.pdf (2.2 MB)
2.笔记
人名分类器课堂纪要
img
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img2
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人名分类器纪要.md (1.7 KB)
tmp
1个1个的送入和10个单词一次性输入结果相等实验.png (704.8 KB)
20211017.png (247.0 KB)
RNN+注意力机制课堂纪要
img
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img2
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image-20231026154122953.png (608.6 KB)
image-20231026155018609.png (635.4 KB)
rnn课堂纪要.md (3.3 KB)
3.代码
课堂代码
dm04_attentionkey10.py (4.2 KB)
预习代码
data
my_rnn_model_1.bin (413.1 KB)
my_rnn_model_2.bin (413.1 KB)
my_rnn_model_3.bin (413.1 KB)
my_rnn_model_4.bin (413.1 KB)
name_classfication.txt (312.5 KB)
test_100.csv (1.5 KB)
img
RNN_LSTM_GRU_acc2.png (29.8 KB)
rnn_lstm_gru_acc【耗时整理‖免费分享 cunlove.cn】.png (29.6 KB)
rnn_lstm_gru_loss1.png (28.1 KB)
rnn_lstm_gru_loss2.png (28.2 KB)
rnn_lstm_gru_loss14.png (234.9 KB)
RNN_LSTM_GRU_period2.png (7.5 KB)
rnn_lstm_gru_time.png (9.7 KB)
model
⚠️ 无法获取目录内容或目录为空
samp15_name_classfication_gpu.py (32.6 KB)
5.作业
day04作业.md (463.0 B)
6.今日总结
03-人名分类器实现分析.xmind (882.0 KB)
day05_注意力机制seq2seq
1.讲义
06-注意力机制介绍.pdf (1.7 MB)
07-案例Seq2Seq英译法案例.pdf (2.6 MB)
2.笔记
seq2seq授课课堂纪要
img
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img2
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image-20231028154320333.png (1.0 MB)
image-20231028172620220.png (959.0 KB)
课堂纪要seq2seq.md (3.6 KB)
3.代码
课堂代码
dm01_seq2seq.py (24.0 KB)
预习代码
data
eng-fra-v2.txt (544.9 KB)
gpumodel
my_attndecoderrnn.pth (10.5 MB)
my_encoderrnn.pth (4.2 MB)
s2s_loss.png (8.0 KB)
samp01_seq2seq_lx.py (26.6 KB)
5.作业
day05作业.md (445.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day06_注意力机制seq2seq
1.讲义
07-案例Seq2Seq英译法案例.pdf (2.6 MB)
2.笔记
tranformer笔记课堂纪要
img
01positonalencodeing【耗时整理‖免费分享 cunlove.cn】.png (1.3 MB)
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img2
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image-20231029120606613.png (1.3 MB)
课堂纪要【耗时整理‖免费分享 cunlove.cn】.md (12.5 KB)
transformer-Attention is All You Need.pdf (2.1 MB)
3.代码
samp02_seq2seq_evaluate
data
eng-fra-v2.txt (544.9 KB)
gpumodel
my_attndecoderrnn.pth (10.5 MB)
my_encoderrnn【耗时整理‖免费分享 cunlove.cn】.pth (4.2 MB)
s2s_loss.png (8.0 KB)
samp01_seq2seq_lx.py (26.6 KB)
samp02_seq2seq_evaluate【耗时整理‖免费分享 cunlove.cn】.py (19.1 KB)
samp03_seq2seq_train-gpu【耗时整理‖免费分享 cunlove.cn】.py (26.9 KB)
5.作业
day06作业.md (521.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day07_Transformer
1.讲义
08-Tranformer架构和实现【耗时整理‖免费分享 cunlove.cn】.pdf (7.3 MB)
transformer-Attention is All You Need.pdf (2.1 MB)
2.笔记
tranformer笔记课堂纪要
img
01positonalencodeing.png (1.3 MB)
image-20210921190945610.png (34.2 KB)
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nlp_nlg_nlu.png (169.8 KB)
img2
image-20231029112227496.png (977.9 KB)
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image-20231029120606613.png (1.3 MB)
image-20231029152248785【耗时整理‖免费分享 cunlove.cn】.png (893.5 KB)
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image-20231031120959838.png (1.4 MB)
image-20231031172611764.png (1.0 MB)
课堂纪要.md (13.0 KB)
transformer-Attention is All You Need.pdf (2.1 MB)
3.代码
课堂代码
dm01_input.py (3.6 KB)
dm02_encode.py (17.4 KB)
dm03_decode.py (15.5 KB)
dm04_makemodel.py (25.6 KB)
预习代码
samp01_input.py (7.9 KB)
samp02_encode.py (20.5 KB)
samp02_other.py (980.0 B)
samp03_decoder.py (14.1 KB)
samp04_makemodel.py (28.0 KB)
5.作业
day07作业.md (367.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day08_fasttext分类-词向量迁移
1.讲义
09-迁移学习-上.pdf (2.9 MB)
2.笔记
fasttext课堂纪要
fasttext纪要【耗时整理‖免费分享 cunlove.cn】.md (8.7 KB)
glue表格.xlsx (11.2 KB)
glue任务识别表.png (813.1 KB)
img
image-20211030145750540.png (157.0 KB)
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image-20220726155055248.png (382.1 KB)
image-20220726155057863【耗时整理‖免费分享 cunlove.cn】.png (382.1 KB)
image-20220728100507908【耗时整理‖免费分享 cunlove.cn】.png (919.1 KB)
image-20220728102040617【耗时整理‖免费分享 cunlove.cn】.png (897.7 KB)
image-20220728104644880.png (635.5 KB)
image-20220728105703208.png (776.9 KB)
image-20220728110423641.png (1.0 MB)
image-20220728115509585.png (950.4 KB)
img2
image-20231101114450785.png (843.2 KB)
3.代码
课堂代码
dm01_fasttextapi.py (1.4 KB)
预习代码
data
cc.zh.300.bin (1.9 GB)
fasttext_data
.idea
encodings.xml (135.0 B)
fasttext_data.iml (291.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
modules.xml (285.0 B)
workspace.xml (308.0 B)
cn_dev_fast1.txt (777.4 KB)
cn_test_fast.txt (865.6 KB)
cn_test_fast1.txt (778.1 KB)
cn_train_fast.txt (15.2 MB)
cn_train_fast1.txt (13.7 MB)
cooking.pre.valid (271.7 KB)
cooking.preprocessed.txt (1.4 MB)
cooking.pre【耗时整理‖免费分享 cunlove.cn】.train (1.1 MB)
cooking.stackexchange.id (88.0 KB)
cooking.stackexchange.txt (1.3 MB)
cooking.train (1.1 MB)
cooking.valid (266.0 KB)
model_cooking.bin (6.1 MB)
readme.txt (743.0 B)
samp01_classfication.py (6.3 KB)
samp02_wordvector_transfer【耗时整理‖免费分享 cunlove.cn】.py (2.1 KB)
5.作业
day08作业.md (340.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day09_迁移学习transformers
1.讲义
10-迁移学习-中.pdf (3.4 MB)
2.笔记
fasttext课堂纪要
fasttext纪要.md (16.6 KB)
glue表格.xlsx (11.2 KB)
glue任务识别表.png (813.1 KB)
img
image-20211030145750540.png (157.0 KB)
image-20211030151348738.png (732.2 KB)
image-20211030151434618.png (610.3 KB)
image-20211030165041062【耗时整理‖免费分享 cunlove.cn】.png (666.3 KB)
image-20211030173822466.png (2.7 MB)
image-20211030173910934.png (833.4 KB)
image-20211031095207041.png (180.1 KB)
image-20211031095248815.png (167.5 KB)
image-20211031101022005【耗时整理‖免费分享 cunlove.cn】.png (300.5 KB)
image-20211031105325348.png (637.8 KB)
image-20220609135109339.png (410.5 KB)
image-20220609135207320.png (296.8 KB)
image-20220609135918084.png (160.6 KB)
image-20220610170000215.png (50.0 KB)
image-20220611103540254.png (869.6 KB)
image-20220611113826967.png (664.1 KB)
image-20220611115004674【耗时整理‖免费分享 cunlove.cn】.png (151.1 KB)
image-20220611115741768.png (84.9 KB)
image-20220611120104903.png (75.4 KB)
image-20220611121204895.png (1.1 MB)
image-20220611144847974.png (208.4 KB)
image-20220611145505749.png (149.5 KB)
image-20220611145614654.png (1.1 MB)
image-20220611150821202【耗时整理‖免费分享 cunlove.cn】.png (571.2 KB)
image-20220611160000678.png (142.5 KB)
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image-20220611160316152.png (172.2 KB)
image-20220611162356102【耗时整理‖免费分享 cunlove.cn】.png (96.7 KB)
image-20220611162503939.png (485.0 KB)
image-20220611164030843.png (560.2 KB)
image-20220611170321275.png (162.7 KB)
image-20220613105300243【耗时整理‖免费分享 cunlove.cn】.png (1.0 MB)
image-20220613105528023.png (476.9 KB)
image-20220613111228323.png (641.8 KB)
image-20220613113259721.png (1.1 MB)
image-20220613115607202.png (790.7 KB)
image-20220613145609842.png (636.6 KB)
image-20220613151413943.png (1.1 MB)
image-20220725152721801.png (361.6 KB)
image-20220726105808550.png (73.4 KB)
image-20220726110356159.png (93.3 KB)
image-20220726110911060.png (133.7 KB)
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image-20220726114102187.png (1.2 MB)
image-20220726114929342.png (208.6 KB)
image-20220726115141682.png (106.9 KB)
image-20220726155055248.png (382.1 KB)
image-20220726155057863.png (382.1 KB)
image-20220728100507908.png (919.1 KB)
image-20220728102040617.png (897.7 KB)
image-20220728104644880.png (635.5 KB)
image-20220728105703208.png (776.9 KB)
image-20220728110423641.png (1.0 MB)
image-20220728115509585.png (950.4 KB)
img2
image-20231101114450785.png (843.2 KB)
image-20231103104556385.png (843.7 KB)
image-20231103111056453【耗时整理‖免费分享 cunlove.cn】.png (1.0 MB)
image-20231103161324868.png (1.0 MB)
3.代码
课堂代码
dm01_pipline【耗时整理‖免费分享 cunlove.cn】.py (4.7 KB)
dm02_automodel.py (7.7 KB)
dm03_specmodel【耗时整理‖免费分享 cunlove.cn】.py (1.6 KB)
预习代码
bert-base-chinese
.gitattributes (391.0 B)
config.json (624.0 B)
flax_model.msgpack (390.2 MB)
pytorch_model.bin (392.5 MB)
README.md (21.0 B)
tf_model.h5 (456.2 MB)
tokenizer.json (262.6 KB)
tokenizer_config.json (29.0 B)
vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.0 KB)
mydata1
test.csv (361.5 KB)
train.csv (2.9 MB)
validation.csv (365.9 KB)
samp11_pipline.py (9.1 KB)
samp12_automodel.py (17.1 KB)
samp13_spec_model2.py (6.0 KB)
5.作业
day09作业【耗时整理‖免费分享 cunlove.cn】.md (337.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day10_迁移学习案例实战
1.讲义
11-迁移学习-下.pptx (1.8 MB)
2.笔记
迁移学习授课笔记
glue表格【耗时整理‖免费分享 cunlove.cn】.xlsx (11.2 KB)
glue任务识别表.png (813.1 KB)
img
image-20211030145750540.png (157.0 KB)
image-20211030151348738.png (732.2 KB)
image-20211030151434618.png (610.3 KB)
image-20211030165041062.png (666.3 KB)
image-20211030173822466.png (2.7 MB)
image-20211030173910934.png (833.4 KB)
image-20211031095207041.png (180.1 KB)
image-20211031095248815.png (167.5 KB)
image-20211031101022005.png (300.5 KB)
image-20211031105325348.png (637.8 KB)
image-20220609135109339.png (410.5 KB)
image-20220609135207320.png (296.8 KB)
image-20220609135918084.png (160.6 KB)
image-20220610170000215.png (50.0 KB)
image-20220611103540254.png (869.6 KB)
image-20220611113826967【耗时整理‖免费分享 cunlove.cn】.png (649.2 KB)
image-20220611115004674.png (151.1 KB)
image-20220611115741768.png (84.9 KB)
image-20220611120104903.png (75.4 KB)
image-20220611121204895.png (1.1 MB)
image-20220611144847974.png (208.4 KB)
image-20220611145505749.png (149.5 KB)
image-20220611145614654.png (1.1 MB)
image-20220611150821202.png (571.2 KB)
image-20220611160000678.png (142.5 KB)
image-20220611160133975.png (286.6 KB)
image-20220611160316152.png (172.2 KB)
image-20220611162356102.png (96.7 KB)
image-20220611162503939【耗时整理‖免费分享 cunlove.cn】.png (485.0 KB)
image-20220611164030843.png (560.2 KB)
image-20220611170321275【耗时整理‖免费分享 cunlove.cn】.png (162.7 KB)
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image-20220613105528023.png (476.9 KB)
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image-20220613113259721.png (1.1 MB)
image-20220613115607202.png (790.7 KB)
image-20220613145609842.png (636.6 KB)
image-20220613151413943【耗时整理‖免费分享 cunlove.cn】.png (1.1 MB)
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image-20220616095129425【耗时整理‖免费分享 cunlove.cn】.png (267.1 KB)
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image-20220731092905570.png (653.9 KB)
image-20220731094614654.png (450.0 KB)
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img2
image-20220614105320614【耗时整理‖免费分享 cunlove.cn】.png (800.9 KB)
image-20220614110859289.png (1.3 MB)
image-20220614111639532.png (1.0 MB)
image-20220614120131919【耗时整理‖免费分享 cunlove.cn】.png (1.1 MB)
image-20220614120614623.png (303.7 KB)
image-20220729145644612.png (487.4 KB)
image-20220729151015154【耗时整理‖免费分享 cunlove.cn】.png (1.0 MB)
image-20231104095205203【耗时整理‖免费分享 cunlove.cn】.png (1.3 MB)
image-20231104102700750【耗时整理‖免费分享 cunlove.cn】.png (963.8 KB)
image-20231104150441219.png (531.4 KB)
image-20231104160442812.png (638.7 KB)
image-20231104170154960.png (726.4 KB)
image-20231104171007977【耗时整理‖免费分享 cunlove.cn】.png (532.3 KB)
image-20231104173545279.png (1.1 MB)
迁移学习案例纪要.md (2.9 KB)
3.代码
课堂代码
dm21_bert_class【耗时整理‖免费分享 cunlove.cn】.py (8.6 KB)
dm22_mask.py (7.9 KB)
dm23_nsp.py (4.6 KB)
预习代码
mydata1
test.csv (361.5 KB)
train.csv (2.9 MB)
validation.csv (365.9 KB)
samp21_classfication_v2.py (14.2 KB)
samp31_mask_v2.py (12.3 KB)
samp41_nsp_v2.py (9.9 KB)
5.作业
day10作业.md (321.0 B)
6.今日总结
⚠️ 无法获取目录内容或目录为空
day11_bert模型简介和总结
1.讲义
01-自然语言处理概念.pdf (1.2 MB)
02-文本预处理-上.pdf (2.1 MB)
03-文本预处理-下.pdf (1.5 MB)
04-RNN及其变体.pdf (3.0 MB)
05-RNN案例人名分类器.pdf (3.0 MB)
06-注意力机制介绍.pdf (1.7 MB)
07-案例Seq2Seq英译法案例【耗时整理‖免费分享 cunlove.cn】.pdf (2.6 MB)
08-Tranformer架构和实现.pdf (7.3 MB)
09-迁移学习-上.pdf (3.3 MB)
10-迁移学习-中【耗时整理‖免费分享 cunlove.cn】.pdf (3.4 MB)
11-迁移学习-下.pdf (1.4 MB)
12-BERT系列模型-v2.pdf (7.7 MB)
2.笔记
⚠️ 无法获取目录内容或目录为空
3.代码
glue_data
CoLA
dev.tsv (52.5 KB)
original
raw
in_domain_dev【耗时整理‖免费分享 cunlove.cn】.tsv (25.3 KB)
in_domain_train.tsv (418.5 KB)
out_of_domain_dev【耗时整理‖免费分享 cunlove.cn】.tsv (27.1 KB)
tokenized
in_domain_dev.tsv (26.0 KB)
in_domain_train.tsv (428.4 KB)
out_of_domain_dev.tsv (27.8 KB)
test.tsv (47.6 KB)
train.tsv (418.5 KB)
MNLI
dev_matched(1).tsv (10.0 MB)
dev_matched.tsv (10.0 MB)
dev_mismatched(1).tsv (10.5 MB)
dev_mismatched.tsv (10.5 MB)
original
multinli_1.0_dev_matched.jsonl (12.3 MB)
multinli_1.0_dev_matched.txt (10.1 MB)
multinli_1.0_dev_mismatched.jsonl (12.8 MB)
multinli_1.0_dev_mismatched.txt (10.7 MB)
multinli_1.0_train.jsonl (469.6 MB)
multinli_1.0_train【耗时整理‖免费分享 cunlove.cn】.txt (389.8 MB)
original(1)
⚠️ 无法获取目录内容或目录为空
README(1).txt (1.1 KB)
README.txt (1.1 KB)
test_matched【耗时整理‖免费分享 cunlove.cn】(1).tsv (9.4 MB)
test_matched【耗时整理‖免费分享 cunlove.cn】.tsv (9.4 MB)
test_mismatched(1).tsv (9.9 MB)
test_mismatched.tsv (9.9 MB)
train(1).tsv (390.8 MB)
train.tsv (390.8 MB)
MRPC
cached_dev_BertTokenizer_128_mrpc (346.3 KB)
cached_train_BertTokenizer_128_mrpc【耗时整理‖免费分享 cunlove.cn】 (3.0 MB)
dev_ids.tsv (6.1 KB)
dev【耗时整理‖免费分享 cunlove.cn】.tsv (103.1 KB)
msr_paraphrase_test【耗时整理‖免费分享 cunlove.cn】.txt (430.9 KB)
msr_paraphrase_train.txt (1022.5 KB)
test.tsv (434.9 KB)
train.tsv (919.4 KB)
QQP
original
quora_duplicate_questions.tsv (55.5 MB)
train.tsv (49.9 MB)
SNLI
dev.tsv (7.1 MB)
original
snli_1.0_dev.jsonl (9.3 MB)
snli_1.0_dev.txt (7.2 MB)
snli_1.0_test.jsonl (9.3 MB)
snli_1.0_test.txt (7.2 MB)
snli_1.0_train.jsonl (464.9 MB)
snli_1.0_train.txt (358.3 MB)
README.txt (5.7 KB)
test.tsv (7.1 MB)
train.tsv (359.3 MB)
SST-2
cached_dev_BertTokenizer_128_sst-2 (723.4 KB)
cached_dev_BertTokenizer_128_sst-2(1) (723.4 KB)
cached_train_BertTokenizer_128_sst-2 (53.7 MB)
cached_train_BertTokenizer_128_sst-2(1) (53.7 MB)
dev(1).tsv (92.7 KB)
dev.tsv (92.7 KB)
original
datasetSentences.txt (1.2 MB)
datasetSplit.txt (81.8 KB)
dictionary.txt (11.5 MB)
original_rt_snippets.txt (1.1 MB)
README.txt (2.3 KB)
sentiment_labels.txt (3.1 MB)
SOStr.txt (1.2 MB)
STree.txt (1.2 MB)
original(1)
⚠️ 无法获取目录内容或目录为空
test【耗时整理‖免费分享 cunlove.cn】(1).tsv (192.7 KB)
test【耗时整理‖免费分享 cunlove.cn】.tsv (192.7 KB)
train(1).tsv (3.6 MB)
train.tsv (3.6 MB)
STS-B
dev.tsv (270.4 KB)
LICENSE.txt (6.5 KB)
original
sts-dev.tsv (249.7 KB)
sts-test.tsv (275.8 KB)
sts-train.tsv (880.1 KB)
readme.txt (5.9 KB)
test.tsv (285.7 KB)
train.tsv (961.0 KB)
课堂代码
dm04_bert模型动静词向量.py (2.7 KB)
5.作业
⚠️ 无法获取目录内容或目录为空
6.今日总结
01-文本预处理知识体系梳理【耗时整理‖免费分享 cunlove.cn】.xmind (2.8 MB)
02-RNN及其变体知识体系梳理.xmind (5.3 MB)
03-人名分类器实现分析.xmind (946.6 KB)
04-英译法seq2seq架构【耗时整理‖免费分享 cunlove.cn】.xmind (177.2 KB)
05-transformer知识体系梳理.xmind (3.2 MB)
06-fasttext与迁移学习知识体系梳理.xmind (6.4 MB)
07-BERT模型相关【耗时整理‖免费分享 cunlove.cn】.xmind (2.6 MB)
重点复习-v2.md (1.7 KB)
阶段8-AI医疗项目实战
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AI医生课件
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assets
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search
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sitemap.xml (1.4 KB)
AI医生项目文档参考.zip (190.1 KB)
day01
2 笔记
assets
image-20230624101700860.png (110.0 KB)
image-20230624101737968.png (56.8 KB)
image-20230624103558521.png (86.6 KB)
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day01笔记.assets
AI医生架构【耗时整理‖免费分享 cunlove.cn】.svg (47.5 KB)
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image-20220808115817940.png (98.5 KB)
image-20220808115934046.png (11.4 KB)
day01笔记.md (20.2 KB)
3 代码
baidu_unit.py (3.3 KB)
learning.py (253.0 B)
main.py (544.0 B)
neo4j.conf (15.6 KB)
supervisord.conf (10.4 KB)
test_flask.py (383.0 B)
test_neo4j.py (582.0 B)
test_redis.py (770.0 B)
test_transcation.py (952.0 B)
4 其他
movie_full_info.txt (27.8 KB)
作业.md (3.5 KB)
day02
2 笔记
day02笔记.assets
image-20220621085329846【耗时整理‖免费分享 cunlove.cn】.png (36.1 KB)
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RNN内部结构图.png (45.9 KB)
day02笔记.md (18.0 KB)
3 代码
doctor_offline_old
review_model
acc.png (31.9 KB)
bert_chinese_encode【耗时整理‖免费分享 cunlove.cn】.py (1.3 KB)
BERT_RNN.pth (451.8 KB)
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RNN_MODEL.py (1.4 KB)
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train_data.csv (214.7 KB)
wirte_to_neo4j.py (2.3 KB)
doctor_offlinev1
config.py (95.0 B)
review_model
bert_chinese_encode.py (1.1 KB)
rnn_model.py (1.2 KB)
train.py (1.9 KB)
train_data.csv (214.7 KB)
wirte_to_neo4j【耗时整理‖免费分享 cunlove.cn】.py (2.1 KB)
doctor_offlinev2
config.py (95.0 B)
review_model
bert_chinese_encode.py (1.1 KB)
rnn_model.py (1.2 KB)
train.py (5.8 KB)
train_data.csv (214.7 KB)
wirte_to_neo4j.py (2.1 KB)
doctor_offlinev3
config.py (95.0 B)
review_model
bert_chinese_encode.py (1.1 KB)
predict.py (2.1 KB)
rnn_model.py (1.2 KB)
train.py (5.8 KB)
train_data.csv (214.7 KB)
wirte_to_neo4j.py (2.1 KB)
4 其他
movie_full_info【耗时整理‖免费分享 cunlove.cn】.txt (27.8 KB)
structured_unstructured_data【耗时整理‖免费分享 cunlove.cn】.zip (7.1 MB)
作业【耗时整理‖免费分享 cunlove.cn】.md (251.0 B)
day03
2 笔记
assets
image-20230626184029704.png (188.8 KB)
维特比算法分词应用.svg (19.6 KB)
day03笔记【耗时整理‖免费分享 cunlove.cn】.md (17.2 KB)
3 代码
HMM
hmm.py (2.0 KB)
hmm_cut.py (7.4 KB)
test1_cut.txt (3.9 KB)
test1_org【耗时整理‖免费分享 cunlove.cn】.txt (2.7 KB)
ner_model
bilstm_crf.py (2.4 KB)
ner_data
char_to_id.json (380.8 KB)
train.txt (262.5 KB)
validate.txt (224.8 KB)
4 其他
BiLSTM+CRF实现命名实体识别.pdf (895.9 KB)
day01-day02 cypher作业答案.txt (878.0 B)
HMMTrainSet.txt (7.4 MB)
img
crf概念导图.html (135.9 KB)
局部马尔可夫性.svg (11.4 KB)
全局马尔可夫性.svg (10.8 KB)
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Neo4J实战教程.md (6.0 KB)
ner_data
train.csv (129.0 KB)
train.txt (262.5 KB)
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validate.txt (224.8 KB)
test1_cut.txt (3.9 KB)
test1_org.txt (2.7 KB)
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统计语言模型.assets
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统计语言模型【耗时整理‖免费分享 cunlove.cn】.md (44.7 KB)
day04
2 笔记
assets
image-20220812172821139.png (256.6 KB)
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day04笔记.assets
image-20220626095218711.png (286.2 KB)
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day04笔记.md (16.0 KB)
3 代码
ner_model
bilstm_crf_参考代码.py (9.1 KB)
bilstm_crf【耗时整理‖免费分享 cunlove.cn】.py (6.6 KB)
ner_data
char_to_id.json (380.8 KB)
train.txt (262.5 KB)
validate.txt (224.8 KB)
4 其他
BiLSTM+CRF实现命名实体识别.pdf (895.9 KB)
day05
2 笔记
assets
image-20230630175022599.png (157.3 KB)
day05笔记.md (17.3 KB)
3 代码
ner_model参考代码
bilstm_crf.py (11.3 KB)
build_vocab【耗时整理‖免费分享 cunlove.cn】.py (560.0 B)
encode_label.py (1.2 KB)
entity_extract.py (2.7 KB)
evaluate【耗时整理‖免费分享 cunlove.cn】.py (6.1 KB)
load_corpus.py (952.0 B)
model
⚠️ 无法获取目录内容或目录为空
ner_data
char_to_id【耗时整理‖免费分享 cunlove.cn】.json (380.8 KB)
train.txt (262.5 KB)
validate.txt (224.8 KB)
train.py (3.8 KB)
ner_model【耗时整理‖免费分享 cunlove.cn】.zip (143.0 KB)
4 其他
注册微信公众号.assets
image-20220627011143108.png (149.1 KB)
image-20220627011207023.png (59.0 KB)
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image-20220627011643647.png (159.8 KB)
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注册微信公众号.md (612.0 B)
day06
2 笔记
day06笔记.assets
image-20220629154047902.png (301.5 KB)
image-20220629154313536.png (171.6 KB)
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day06笔记.md (19.6 KB)
3 代码
ai_doctor_code.zip (4.1 MB)
4 其他
BiLSTM+CRF.xmind (126.6 KB)
花生壳注册.md (701.0 B)
img
1.png (59.0 KB)
2.png (118.0 KB)
3.png (334.6 KB)
4.png (264.1 KB)
5.png (91.9 KB)
6.png (87.3 KB)
7.png (496.2 KB)
train_data.csv (3.3 MB)
注册微信公众号.assets
image-20220627011143108.png (149.1 KB)
image-20220627011207023【耗时整理‖免费分享 cunlove.cn】.png (59.0 KB)
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image-20220627011307757.png (264.0 KB)
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注册微信公众号【耗时整理‖免费分享 cunlove.cn】.md (676.0 B)
day07
2 笔记
day07笔记.assets
AI医生架构.svg (47.5 KB)
image-20220630101443885.png (163.0 KB)
image-20220630195408453【耗时整理‖免费分享 cunlove.cn】.png (343.7 KB)
image-20220701152847701.png (39.5 KB)
image-20220701155557607.png (450.1 KB)
image-20220701174538531.png (38.0 KB)
day07笔记.md (33.0 KB)
3 代码
ai_doctor_code.zip (12.6 MB)
结构化&非结构化数据.zip (6.5 MB)
supervisord.conf (10.4 KB)
模型部署
2 课件
模型部署.zip (1.0 MB)
3 练习
模型部署练习.zip (46.7 MB)
阶段9-算法初识
笔记
assets
image-20231119164224017.png (58.5 KB)
image-20231119170008787【耗时整理‖免费分享 cunlove.cn】.png (12.2 KB)
image-20231119181049094.png (88.2 KB)
笔记.md (12.7 KB)
代码
.idea
.gitignore (184.0 B)
deployment.xml (1.0 KB)
代码.iml (291.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (431.0 B)
misc.xml (210.0 B)
modules.xml (271.0 B)
workspace.xml (9.5 KB)
_04_LinkedList
__pycache__
LinkedList.cpython-311.pyc (3.6 KB)
Node.cpython-311.pyc (728.0 B)
LinkedList.py (2.4 KB)
Node.py (151.0 B)
test.py (4.7 KB)
_05_stack&queue
MovingAverage.py (554.0 B)
MovingAverage2.py (826.0 B)
MyQueue【耗时整理‖免费分享 cunlove.cn】.py (685.0 B)
Mystack2【耗时整理‖免费分享 cunlove.cn】.py (843.0 B)
Mystack【耗时整理‖免费分享 cunlove.cn】.py (913.0 B)
QueueTest【耗时整理‖免费分享 cunlove.cn】.py (935.0 B)
Stack.py (1.7 KB)
_06_BinaryTree
backtracking.py (1.8 KB)
TreeNode【耗时整理‖免费分享 cunlove.cn】.py (4.6 KB)
_07_dp
dptest.py (2.0 KB)
fibnacci.py (289.0 B)
fibnacci2.py (775.0 B)
leetcode_array.py (3.2 KB)
leetcode_search.py (4.1 KB)
leetcode_string.py (3.5 KB)
画图
字符列表.png (61.2 KB)
课件
01_算法面试介绍.pptx (48.9 MB)
02_算法复杂度介绍.pptx (377.5 KB)
03_基础算法之排序.pptx (5.5 MB)
04_数组相关问题 .pptx (591.5 KB)
05_字符串相关问题.pptx (501.8 KB)
06_查找相关问题【耗时整理‖免费分享 cunlove.cn】.pptx (13.1 MB)
07_链表相关问题.pptx (749.1 KB)
08_栈_队列相关问题.pptx (893.8 KB)
09_递归与回溯.pptx (1.2 MB)
10_动态规划和贪心.pptx (368.8 KB)
阶段010-投满分项目V4
01-讲义
site
01-项目背景【耗时整理‖免费分享 cunlove.cn】.html (16.6 KB)
02-数据集介绍.html (21.9 KB)
03-数据集分析.html (31.0 KB)
04-随机森林案例.html (23.5 KB)
05-fasttext实现.html (65.3 KB)
06-bert模型.html (130.6 KB)
07-模型量化.html (30.1 KB)
08-模型蒸馏.html (19.4 KB)
09-模型蒸馏实践.html (158.9 KB)
10-模型剪枝【耗时整理‖免费分享 cunlove.cn】.html (71.6 KB)
404.html (12.9 KB)
assets
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search
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sitemap.xml (109.0 B)
1.面试中的问题？怎么复习？应届生没经验？【耗时整理‖免费分享 cunlove.cn】.md (1.9 KB)
02-data
data
class.txt (83.0 B)
dev.txt (538.4 KB)
test.txt (538.7 KB)
03-code
.idea
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03-code.iml (443.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (266.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (15.7 KB)
01-data
data
class.txt (83.0 B)
dev【耗时整理‖免费分享 cunlove.cn】.txt (538.4 KB)
stopwords.txt (5.1 KB)
test【耗时整理‖免费分享 cunlove.cn】.txt (538.7 KB)
02-random_forest
analysis.py (1.5 KB)
data
data
class.txt (83.0 B)
dev.txt (538.4 KB)
stopwords.txt (5.1 KB)
test.txt (538.7 KB)
train_new.csv (21.2 MB)
random_forest.py (1.1 KB)
03-fast_text
__pycache__
⚠️ 无法获取目录内容或目录为空
app.py (1.1 KB)
data
data
class.txt (83.0 B)
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stopwords【耗时整理‖免费分享 cunlove.cn】.txt (5.1 KB)
test.txt (538.7 KB)
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fast_text_2.py (1.8 KB)
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test【耗时整理‖免费分享 cunlove.cn】.py (522.0 B)
toutiao_fasttext_1699862718.bin (764.8 MB)
toutiao_fasttext_1699865297.bin (810.1 MB)
04-bert
__pycache__
⚠️ 无法获取目录内容或目录为空
data
bert_pretrain
bert_config.json (520.0 B)
pytorch_model.bin (392.5 MB)
vocab.txt (107.0 KB)
data1
class.txt (83.0 B)
dev.txt (538.4 KB)
test.txt (538.7 KB)
src
__pycache__
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utils.cpython-37.pyc (4.9 KB)
app.py (2.3 KB)
demo.py (444.0 B)
models
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bert.py (3.2 KB)
predict.py (2.4 KB)
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run1【耗时整理‖免费分享 cunlove.cn】.py (1.7 KB)
saved_dic
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saved_dic1
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train_eval.py (5.6 KB)
utils.py (5.7 KB)
05-bert_distil
data
bert_pretrain
bert_config.json (520.0 B)
pytorch_model.bin (392.5 MB)
vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.0 KB)
data
class.txt (82.0 B)
dev.txt (538.4 KB)
test.txt (538.7 KB)
vocab【耗时整理‖免费分享 cunlove.cn】.pkl (73.3 KB)
src
__pycache__
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models
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bert.cpython-37.pyc (2.3 KB)
textCNN.cpython-36.pyc (2.9 KB)
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bert.py (2.6 KB)
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saved_dict
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textCNN.pt (8.1 MB)
textCNN_8989.pt (10.8 MB)
textCNN_9125.pt (22.0 MB)
train_eval.py (10.7 KB)
utils.py (9.2 KB)
06-model_pruning
demo1.py (4.8 KB)
demo2.py (3.2 KB)
demo3.py (2.0 KB)
05-code_edit
.idea
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05-code_edit.iml (386.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc【耗时整理‖免费分享 cunlove.cn】.xml (195.0 B)
modules【耗时整理‖免费分享 cunlove.cn】.xml (276.0 B)
workspace.xml (15.5 KB)
01-randomForest
ana.py (1.0 KB)
data
class【耗时整理‖免费分享 cunlove.cn】.txt (83.0 B)
dev.txt (538.4 KB)
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stopwords.txt (5.1 KB)
test.txt (538.7 KB)
rf.py (1003.0 B)
02-fasttext
client.py (207.0 B)
data
class.txt (83.0 B)
dev_fast.txt (864.9 KB)
dev_fast1.txt (777.4 KB)
dev【耗时整理‖免费分享 cunlove.cn】.txt (538.4 KB)
preprocess.py (937.0 B)
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test.txt (538.7 KB)
fastext.py (311.0 B)
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fastext_3.py (732.0 B)
fasttext2【耗时整理‖免费分享 cunlove.cn】.bin (3.2 GB)
fasttext3.bin (3.2 GB)
serve.py (503.0 B)
val.py (262.0 B)
03-bert
data
bert_pretrain
bert_config【耗时整理‖免费分享 cunlove.cn】.json (520.0 B)
pytorch_model.bin (392.5 MB)
vocab.txt (107.0 KB)
data1
class.txt (83.0 B)
dev.txt (538.4 KB)
test.txt (538.7 KB)
src
__pycache__
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client【耗时整理‖免费分享 cunlove.cn】.py (455.0 B)
models
__pycache__
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bert.py (2.7 KB)
predict.py (1.3 KB)
run.py (1.8 KB)
run1.py (1.7 KB)
saved_dic
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train_eval【耗时整理‖免费分享 cunlove.cn】.py (5.6 KB)
utils.py (5.7 KB)
04-distill
data
bert_pretrain
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vocab.txt (107.0 KB)
data
class【耗时整理‖免费分享 cunlove.cn】.txt (82.0 B)
dev.txt (538.4 KB)
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src
__pycache__
utils.cpython-37.pyc (2.6 KB)
models
__pycache__
textCNN.cpython-37.pyc (1.6 KB)
bert.py (2.3 KB)
textCNN.py (2.4 KB)
run.py (755.0 B)
save_dict
⚠️ 无法获取目录内容或目录为空
train_eval.py (10.1 KB)
utils.py (8.3 KB)
05-剪枝
LeNet-prune.py (4.0 KB)
06-简历内容
NLP求职–自我介绍以及项目描述参考模板.docx (18.0 KB)
项目案例.md (4.1 KB)
项目文档.md (2.9 KB)
images
image-20231126091922135.png (233.2 KB)
image-20231126091957691.png (53.8 KB)
课前说明.mindnode
contents.xml (27.6 KB)
QuickLook
Preview.jpg (212.3 KB)
resources
7BDD87EE-7DE2-41A2-9C41-4CF85D2E14C3.png (50.3 KB)
style.mindnodestyle
contents.xml (6.4 KB)
metadata.plist (391.0 B)
viewState.plist (149.0 B)
每日回顾.md (3.0 KB)
requirements.txt (420.0 B)
阶段011-红蜘蛛知识图谱项目
day01
day01课堂问题.md (4.2 KB)
红蜘蛛讲义_课堂版
mkdocs_red_spider1
docs
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15_1【耗时整理‖免费分享 cunlove.cn】.md (8.7 KB)
15_2.md (3.7 KB)
15_3.md (5.8 KB)
img
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search
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idcnn
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data
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output.txt (48.0 B)
process【耗时整理‖免费分享 cunlove.cn】.py (767.0 B)
test.txt (170.1 KB)
train.txt (543.5 KB)
vocab.txt (107.0 KB)
inference.py (2.7 KB)
model
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__pycache__
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__init__.cpython-37.pyc (229.0 B)
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bert_lstm_crf.cpython-37【耗时整理‖免费分享 cunlove.cn】.pyc (2.5 KB)
cnn.cpython-36.pyc (3.5 KB)
cnn.cpython-37.pyc (3.4 KB)
crf.cpython-36.pyc (4.9 KB)
crf.cpython-37.pyc (6.1 KB)
idcnn_crf.cpython-36.pyc (1.9 KB)
cnn.py (4.0 KB)
crf.py (14.2 KB)
idcnn_crf.py (3.0 KB)
README.md (505.0 B)
saved_model
idcnn_crf.pt (24.4 MB)
train.py (4.1 KB)
utils.py (6.7 KB)
预训练模型
albert_chinese_base
config.json (653.0 B)
pytorch_model.bin (40.7 MB)
vocab.txt (107.0 KB)
ernie3.0-base-chinese
config.json (534.0 B)
pytorch_model.bin (452.4 MB)
vocab.txt (182.4 KB)
macbert_chinese_base
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config.json (659.0 B)
pytorch_model.bin (392.5 MB)
special_tokens_map.json (112.0 B)
tokenizer.json (262.7 KB)
tokenizer_config【耗时整理‖免费分享 cunlove.cn】.json (19.0 B)
vocab.txt (107.0 KB)
roberta_chinese_wwm_ext
added_tokens【耗时整理‖免费分享 cunlove.cn】.json (2.0 B)
config.json (689.0 B)
pytorch_model.bin (392.5 MB)
special_tokens_map.json (112.0 B)
tokenizer_config.json (19.0 B)
tokenizer【耗时整理‖免费分享 cunlove.cn】.json (262.7 KB)
vocab.txt (107.0 KB)
T5
all_results.json (1.2 KB)
config.json (676.0 B)
pytorch_model.bin (818.5 MB)
special_tokens_map.json (112.0 B)
test_generations【耗时整理‖免费分享 cunlove.cn】.txt (2.0 KB)
test_results.json (395.0 B)
tokenizer_config.json (426.0 B)
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training_args.bin (2.5 KB)
val_results.json (406.0 B)
vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.7 KB)
day02
day02课堂问题.md (1.4 KB)
day03
day03课堂问题.md (817.0 B)
IDCNN_BERT
__pycache__
config.cpython-36.pyc (821.0 B)
constants.cpython-36.pyc (912.0 B)
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utils.cpython-36.pyc (5.2 KB)
utils.cpython-37.pyc (5.2 KB)
config.py (652.0 B)
data
bert
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pytorch_model.bin (392.5 MB)
vocab.txt (107.0 KB)
test.txt (170.1 KB)
train.txt (543.5 KB)
model
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__pycache__
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bert_lstm_crf.cpython-36.pyc (2.5 KB)
bert_lstm_crf.cpython-37.pyc (2.5 KB)
cnn.cpython-36.pyc (3.5 KB)
cnn.cpython-37.pyc (3.4 KB)
crf.cpython-36.pyc (6.2 KB)
crf.cpython-37.pyc (6.1 KB)
bert_lstm_crf.py (3.1 KB)
cnn【耗时整理‖免费分享 cunlove.cn】.py (3.1 KB)
crf.py (9.2 KB)
README.md (2.6 KB)
saved_model
back_bert_idcnn_lstm_crf.pt (392.3 MB)
train.py (3.3 KB)
utils【耗时整理‖免费分享 cunlove.cn】.py (6.5 KB)
Wrapper.py (2.7 KB)
预训练模型
electra_base_discriminator
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config.json (441.0 B)
pytorch_model【耗时整理‖免费分享 cunlove.cn】.bin (390.2 MB)
special_tokens_map【耗时整理‖免费分享 cunlove.cn】.json (112.0 B)
tokenizer.json (262.7 KB)
tokenizer_config【耗时整理‖免费分享 cunlove.cn】.json (19.0 B)
vocab.txt (107.0 KB)
T5
all_results.json (1.2 KB)
config.json (676.0 B)
pytorch_model.bin (818.5 MB)
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test_generations.txt (2.0 KB)
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tokenizer_config.json (426.0 B)
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training_args【耗时整理‖免费分享 cunlove.cn】.bin (2.5 KB)
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vocab.txt (107.7 KB)
xlnet
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special_tokens_map.json (203.0 B)
spiece【耗时整理‖免费分享 cunlove.cn】.model (675.2 KB)
tokenizer_config.json (20.0 B)
tokenizer【耗时整理‖免费分享 cunlove.cn】.json (1.2 MB)
day04
模型
bert_multi_head
.idea
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modules.xml (302.0 B)
multi_head_selection_code.iml (398.0 B)
workspace.xml (12.4 KB)
bert-base-chinese
⚠️ 无法获取目录内容或目录为空
config
__init__.py (28.0 B)
__pycache__
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hyper.cpython-36.pyc (401.0 B)
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config.py (150.0 B)
data
duie
multi_head_selection
bio_vocab.json (25.0 B)
dev_data.json (14.8 MB)
relation_vocab.json (793.0 B)
train_data.json (117.4 MB)
word_vocab.json (86.0 KB)
raw_data
duie
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dev_data.json (27.1 MB)
train_data.json (215.6 MB)
dataloaders
__init__.py (42.0 B)
__pycache__
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selection_loader.py (5.2 KB)
experiments
duie_selection_re【耗时整理‖免费分享 cunlove.cn】.json (678.0 B)
main.py (6.6 KB)
metrics
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__pycache__
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F1_score.cpython-37.pyc (3.2 KB)
F1_score.py (1.7 KB)
models
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__pycache__
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selection.py (20.3 KB)
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predict【耗时整理‖免费分享 cunlove.cn】.py (8.7 KB)
preprocessings
__init__.py (43.0 B)
__pycache__
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duie_selection.cpython-36.pyc (5.6 KB)
duie_selection.cpython-37.pyc (5.8 KB)
duie_selection.py (8.0 KB)
saved_model
⚠️ 无法获取目录内容或目录为空
下载 – 快捷方式.lnk.重命名 (688.0 B)
multi_head
.idea
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modules.xml (292.0 B)
multi_head_selection.iml (398.0 B)
workspace.xml (23.6 KB)
config
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__pycache__
__init__.cpython-36.pyc (195.0 B)
hyper.cpython-36.pyc (369.0 B)
hyper.py (150.0 B)
data
duie
multi_head_selection
bio_vocab.json (36.0 B)
dev_data.json (12.8 MB)
relation_vocab.json (793.0 B)
train_data.json (102.6 MB)
word_vocab.json (86.0 KB)
dataloaders
__init__.py (43.0 B)
__pycache__
__init__.cpython-36.pyc (216.0 B)
selection_loader.cpython-36.pyc (4.5 KB)
selection_loader.py (6.3 KB)
experiments
duie_selection_re【耗时整理‖免费分享 cunlove.cn】.json (637.0 B)
main.py (5.2 KB)
metrics
__init__.py (30.0 B)
__pycache__
__init__.cpython-36.pyc (200.0 B)
F1_score.cpython-36【耗时整理‖免费分享 cunlove.cn】.pyc (3.1 KB)
F1_score.py (1.7 KB)
models
__init__.py (30.0 B)
__pycache__
__init__.cpython-36.pyc (199.0 B)
selection.cpython-36.pyc (7.5 KB)
back_selection.py (10.1 KB)
demo_selection.py (10.4 KB)
selection.py (10.1 KB)
predict【耗时整理‖免费分享 cunlove.cn】.py (8.3 KB)
preprocessings
__init__.py (43.0 B)
__pycache__
__init__.cpython-36.pyc (220.0 B)
duie_selection.cpython-36【耗时整理‖免费分享 cunlove.cn】.pyc (5.6 KB)
duie_selection.py (5.1 KB)
saved_models
⚠️ 无法获取目录内容或目录为空
day05
.idea
.gitignore【耗时整理‖免费分享 cunlove.cn】 (184.0 B)
day05.iml (291.0 B)
deployment.xml (1.7 KB)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (273.0 B)
misc.xml (326.0 B)
modules.xml (269.0 B)
workspace.xml (4.0 KB)
back_red
.idea
.gitignore (184.0 B)
.name (21.0 B)
back_red【耗时整理‖免费分享 cunlove.cn】.iml (324.0 B)
deployment.xml (431.0 B)
inspectionProfiles
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modules.xml (275.0 B)
workspace【耗时整理‖免费分享 cunlove.cn】.xml (6.1 KB)
__pycache__
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answer_search.cpython-38【耗时整理‖免费分享 cunlove.cn】.pyc (2.0 KB)
config.cpython-37.pyc (215.0 B)
config.cpython-38.pyc (246.0 B)
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question_classifier.cpython-37.pyc (4.1 KB)
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question_parser.cpython-37.pyc (2.0 KB)
question_parser.cpython-38.pyc (2.0 KB)
answer_search【耗时整理‖免费分享 cunlove.cn】.py (2.1 KB)
build_medicalgraph.py (5.0 KB)
chatbot【耗时整理‖免费分享 cunlove.cn】.py (1.6 KB)
config【耗时整理‖免费分享 cunlove.cn】.py (113.0 B)
data
back_medical.json (45.0 MB)
medical.json (45.0 MB)
temp.json (647.0 KB)
dict
check.txt (70.0 KB)
deny.txt (265.0 B)
department.txt (593.0 B)
disease【耗时整理‖免费分享 cunlove.cn】.txt (173.4 KB)
drug.txt (72.9 KB)
food.txt (73.3 KB)
producer.txt (495.8 KB)
symptom.txt (97.2 KB)
dict – 副本
check【耗时整理‖免费分享 cunlove.cn】.txt (70.0 KB)
deny.txt (265.0 B)
department.txt (593.0 B)
disease【耗时整理‖免费分享 cunlove.cn】.txt (173.4 KB)
drug【耗时整理‖免费分享 cunlove.cn】.txt (72.9 KB)
food.txt (73.3 KB)
producer.txt (495.8 KB)
symptom.txt (97.2 KB)
question_classifier.py (5.0 KB)
question_parser.py (2.2 KB)
day06
build_medicalgraph.py (13.5 KB)
gpt2_chinese_base
config.json (605.0 B)
pytorch_model.bin (401.4 MB)
vocab.txt (107.0 KB)
Qwen-7b
📄 config.json (1.1 KB)
📄 configuration_qwen.py (2.4 KB)
📄 generation_config.json (194.0 B)
📄 gitattributes.txt (1.5 KB)
📄 LICENSE.txt (6.7 KB)
📄 modeling_qwen.py (44.3 KB)
📄 NOTICE.txt (2.6 KB)
📄 pytorch_model.bin.index.json (19.1 KB)
📁 Qwen-7B-Chat
📄 pytorch_model-00001-of-00008.bin (1.8 GB)
📄 pytorch_model-00002-of-00008.bin (1.9 GB)
📄 pytorch_model-00003-of-00008【耗时整理‖免费分享 cunlove.cn】.bin (1.9 GB)
📄 pytorch_model-00004-of-00008.bin (1.9 GB)
📄 pytorch_model-00005-of-00008.bin (1.9 GB)
📄 pytorch_model-00006-of-00008.bin (1.9 GB)
📄 pytorch_model-00007-of-00008.bin (1.9 GB)
📄 pytorch_model-00008-of-00008.bin (1.2 GB)
📄 pytorch_model.bin.index.json (19.1 KB)
📄 qwen.tiktoken (2.4 MB)
📄 qwen_generation_utils.py (14.3 KB)
📄 README.md (19.5 KB)
📄 tokenization_qwen.py (7.8 KB)
📄 tokenizer_config.json (173.0 B)
📁 red_spider1
📁 .idea
📄 .gitignore (184.0 B)
📄 deployment.xml (1.7 KB)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 Project_Default.xml (273.0 B)
📄 misc.xml (189.0 B)
📄 modules.xml (281.0 B)
📄 red_spider1.iml (495.0 B)
📄 workspace.xml (3.1 KB)
📁 __pycache__
📄 answer_search.cpython-37.pyc (8.1 KB)
📄 app.cpython-37.pyc (1.5 KB)
📄 chat_gpt.cpython-39.pyc (1023.0 B)
📄 config.cpython-37.pyc (249.0 B)
📄 config.cpython-39.pyc (227.0 B)
📄 gpt2.cpython-39.pyc (1.0 KB)
📄 question_classifier.cpython-37.pyc (8.5 KB)
📄 question_classifier.cpython-38【耗时整理‖免费分享 cunlove.cn】.pyc (8.5 KB)
📄 question_classifier.cpython-39.pyc (8.3 KB)
📄 question_parser.cpython-37.pyc (7.1 KB)
📄 qwen.cpython-39.pyc (1004.0 B)
📄 yuyuan.cpython-39【耗时整理‖免费分享 cunlove.cn】.pyc (972.0 B)
📄 answer_search.py (9.3 KB)
📄 app.py (2.0 KB)
📄 build_medicalgraph.py (13.5 KB)
📄 chat_gpt.py (1.1 KB)
📄 chatbot.py (2.8 KB)
📄 config.py (369.0 B)
📁 data
📄 medical【耗时整理‖免费分享 cunlove.cn】.json (45.0 MB)
📁 dict
📄 check.txt (70.0 KB)
📄 deny【耗时整理‖免费分享 cunlove.cn】.txt (265.0 B)
📄 department【耗时整理‖免费分享 cunlove.cn】.txt (594.0 B)
📄 disease.txt (173.4 KB)
📄 drug.txt (72.9 KB)
📄 food.txt (73.3 KB)
📄 producer【耗时整理‖免费分享 cunlove.cn】.txt (495.8 KB)
📄 symptom【耗时整理‖免费分享 cunlove.cn】.txt (97.2 KB)
📄 gpt2.py (766.0 B)
📄 question_classifier.py (11.6 KB)
📄 question_parser【耗时整理‖免费分享 cunlove.cn】.py (8.5 KB)
📄 qwen.py (883.0 B)
📄 test.py (536.0 B)
📄 yuyuan.py (675.0 B)
📁 Yuyuan
📄 config【耗时整理‖免费分享 cunlove.cn】.json (785.0 B)
📄 generation_example.jpg (198.1 KB)
📄 merges.txt (445.7 KB)
📄 pytorch_model.bin (6.7 GB)
📄 README.md (1.7 KB)
📄 special_tokens_map.json (90.0 B)
📄 tokenizer.json (1.3 MB)
📄 tokenizer_config.json (236.0 B)
📄 vocab.json (779.5 KB)
📁 day07
📁 data
📁 .idea
📄 .gitignore (190.0 B)
📄 data.iml (291.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 Project_Default.xml (371.0 B)
📄 misc.xml (188.0 B)
📄 modules.xml (267.0 B)
📄 workspace.xml (1.6 KB)
📄 class【耗时整理‖免费分享 cunlove.cn】.txt (26.0 B)
📄 demo.py (370.0 B)
📄 dev.txt (47.6 KB)
📄 stopwords.txt (5.1 KB)
📄 test.txt (47.6 KB)
📄 train.txt (47.6 KB)
📄 question_classifier.py (6.7 KB)
📁 red_spider4
📁 __pycache__
📄 answer_search.cpython-36.pyc (1.9 KB)
📄 answer_search.cpython-37.pyc (2.0 KB)
📄 answer_search.cpython-38.pyc (2.6 KB)
📄 config.cpython-36.pyc (258.0 B)
📄 config.cpython-37.pyc (226.0 B)
📄 config.cpython-38.pyc (258.0 B)
📄 onnx_question_classifier.cpython-36.pyc (5.8 KB)
📄 onnx_question_classifier.cpython-38.pyc (5.5 KB)
📄 question_classifier.cpython-36.pyc (5.0 KB)
📄 question_classifier.cpython-37.pyc (4.1 KB)
📄 question_classifier.cpython-38.pyc (4.7 KB)
📄 question_parser.cpython-36.pyc (2.0 KB)
📄 question_parser.cpython-37.pyc (2.0 KB)
📄 question_parser.cpython-38.pyc (2.2 KB)
📄 answer_search【耗时整理‖免费分享 cunlove.cn】.py (3.0 KB)
📄 build_medicalgraph【耗时整理‖免费分享 cunlove.cn】.py (4.9 KB)
📄 chatbot.py (1.4 KB)
📄 config.py (114.0 B)
📁 data
📄 medical.json (45.0 MB)
📄 model.onnx (390.4 MB)
📄 demo_classifier.py (6.8 KB)
📄 demo_onnx.py (8.4 KB)
📁 dict
📄 check.txt (70.0 KB)
📄 deny.txt (265.0 B)
📄 department.txt (593.0 B)
📄 disease.txt (173.4 KB)
📄 drug.txt (72.9 KB)
📄 food.txt (73.3 KB)
📄 producer.txt (495.8 KB)
📄 symptom.txt (97.2 KB)
📁 models
📁 __pycache__
📄 bert.cpython-36【耗时整理‖免费分享 cunlove.cn】.pyc (2.3 KB)
📄 bert.cpython-38.pyc (2.3 KB)
📄 textCNN.cpython-36.pyc (3.0 KB)
📄 bert.py (2.3 KB)
📄 onnx_question_classifier.py (7.8 KB)
📄 question_classifier.py (6.7 KB)
📄 question_parser.py (2.7 KB)
📁 day08
📄 day08课堂笔记.txt (18.5 KB)
📁 面试题
📄 day08课堂笔记【耗时整理‖免费分享 cunlove.cn】.txt (18.5 KB)
📄 模拟面试题.md (4.0 KB)
📄 NLP基础模拟面试10道题.md (8.7 KB)
📄 NLP基础模拟面试题【耗时整理‖免费分享 cunlove.cn】.pdf (522.1 KB)
📄 评价表模板.pdf (143.1 KB)
📄 评价表模板_2(1).pdf (373.9 KB)
📄 评价表模板_3【耗时整理‖免费分享 cunlove.cn】.pdf (303.7 KB)
📄 姚老师组面试题无答案.md (2.4 KB)
📄 姚老师组面试题【耗时整理‖免费分享 cunlove.cn】.pdf (706.6 KB)
📁 实训1
📁 1组
📄 12-2 作业.md (4.6 KB)
📁 idcnn_gai
📁 .idea
📄 .gitignore (182.0 B)
📄 .name (9.0 B)
📄 deployment.xml (650.0 B)
📄 idcnn_gai.iml (452.0 B)
📁 inspectionProfiles
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📄 Project_Default【耗时整理‖免费分享 cunlove.cn】.xml (389.0 B)
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📄 modules.xml (277.0 B)
📄 workspace.xml (4.1 KB)
📁 __pycache__
📄 config.cpython-36【耗时整理‖免费分享 cunlove.cn】.pyc (813.0 B)
📄 config.cpython-38.pyc (764.0 B)
📄 config.cpython-311.pyc (972.0 B)
📄 constants.cpython-36.pyc (907.0 B)
📄 constants.cpython-37.pyc (1.0 KB)
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📄 utils.cpython-37.pyc (5.2 KB)
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📄 utils.cpython-311.pyc (11.0 KB)
📄 config.py (764.0 B)
📁 data
📄 input.txt (41.0 B)
📄 output【耗时整理‖免费分享 cunlove.cn】.txt (48.0 B)
📄 process.py (767.0 B)
📄 test.txt (170.1 KB)
📄 train.txt (543.5 KB)
📄 vocab.txt (107.0 KB)
📄 inference.py (2.7 KB)
📁 model
📁 .idea
📄 .gitignore【耗时整理‖免费分享 cunlove.cn】 (184.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
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📄 misc.xml (198.0 B)
📄 model.iml (452.0 B)
📄 modules.xml (269.0 B)
📄 workspace.xml (2.1 KB)
📄 __init__.py (79.0 B)
📁 __pycache__
📄 __init__.cpython-36.pyc (258.0 B)
📄 __init__.cpython-37.pyc (229.0 B)
📄 __init__.cpython-38.pyc (229.0 B)
📄 __init__.cpython-311.pyc (327.0 B)
📄 bert_lstm_crf.cpython-36.pyc (2.5 KB)
📄 bert_lstm_crf.cpython-37.pyc (2.5 KB)
📄 cnn.cpython-36.pyc (3.5 KB)
📄 cnn.cpython-37.pyc (3.4 KB)
📄 cnn.cpython-38【耗时整理‖免费分享 cunlove.cn】.pyc (3.4 KB)
📄 cnn.cpython-311.pyc (5.9 KB)
📄 crf.cpython-36.pyc (4.9 KB)
📄 crf.cpython-37.pyc (6.1 KB)
📄 crf.cpython-38.pyc (4.9 KB)
📄 crf.cpython-311.pyc (13.5 KB)
📄 idcnn_crf.cpython-36.pyc (1.9 KB)
📄 idcnn_crf.cpython-38.pyc (2.0 KB)
📄 idcnn_crf.cpython-311.pyc (3.6 KB)
📄 cnn.py (4.0 KB)
📄 crf.py (14.2 KB)
📄 idcnn_crf.py (3.4 KB)
📄 Macbert.py (3.9 KB)
📄 README【耗时整理‖免费分享 cunlove.cn】.md (505.0 B)
📁 saved_model
⚠️ 无法获取目录内容或目录为空
📄 train.py (4.1 KB)
📄 utils.py (7.3 KB)
📁 2组
📁 idcnn_macbert
📁 __pycache__
📄 config.cpython-38.pyc (774.0 B)
📄 utils.cpython-38.pyc (5.1 KB)
📄 config.py (771.0 B)
📁 data
📄 input.txt (41.0 B)
📄 output.txt (48.0 B)
📄 process.py (767.0 B)
📄 test.txt (170.1 KB)
📄 train.txt (543.5 KB)
📄 vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.0 KB)
📄 inference.py (2.7 KB)
📁 model
📁 __pycache__
📄 cnn.cpython-38.pyc (3.5 KB)
📄 crf.cpython-38.pyc (4.9 KB)
📄 idcnn_crf.cpython-38.pyc (2.1 KB)
📄 cnn.py (4.0 KB)
📄 crf.py (14.2 KB)
📄 idcnn_crf【耗时整理‖免费分享 cunlove.cn】.py (3.2 KB)
📁 saved_model
📄 utils2.py (5.9 KB)
📄 train.py (4.1 KB)
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📁 3组
⚠️ 无法获取目录内容或目录为空
📁 4组
⚠️ 无法获取目录内容或目录为空
📁 5组
📁 idcnn
📁 __pycache__
📄 config.cpython-37.pyc (820.0 B)
📄 utils.cpython-37.pyc (5.1 KB)
📄 config【耗时整理‖免费分享 cunlove.cn】.py (764.0 B)
📁 data
📄 input.txt (41.0 B)
📄 output.txt (48.0 B)
📄 process.py (767.0 B)
📄 test.txt (170.1 KB)
📄 train.txt (543.5 KB)
📄 vocab.txt (107.0 KB)
📄 inference.py (2.7 KB)
📁 model
📄 __init__【耗时整理‖免费分享 cunlove.cn】.py (79.0 B)
📁 __pycache__
📄 __init__.cpython-37.pyc (265.0 B)
📄 bert.cpython-37【耗时整理‖免费分享 cunlove.cn】.pyc (2.2 KB)
📄 cnn.cpython-37.pyc (3.5 KB)
📄 crf.cpython-37.pyc (4.9 KB)
📄 idcnn_bert_crf.cpython-37.pyc (2.3 KB)
📄 idcnn_crf.cpython-37.pyc (1.9 KB)
📄 bert.py (2.7 KB)
📄 cnn.py (4.1 KB)
📄 cnn1.py (2.3 KB)
📄 crf.py (14.2 KB)
📄 crf1.py (7.1 KB)
📄 idcnn_bert_crf.py (3.0 KB)
📄 idcnn_crf.py (3.0 KB)
📄 idcnn_crf1.py (1.5 KB)
📄 README.md (505.0 B)
📁 saved_model
⚠️ 无法获取目录内容或目录为空
📄 train.py (4.5 KB)
📄 utils.py (6.7 KB)
📁 6组
📁 Bert-IDCNN-CRF
📁 __pycache__
📄 config.cpython-39.pyc (807.0 B)
📄 utils.cpython-39.pyc (5.1 KB)
📄 config.py (764.0 B)
📁 data
📁 data1
📄 test【耗时整理‖免费分享 cunlove.cn】.txt (170.1 KB)
📄 train.txt (543.5 KB)
📄 vocab.txt (107.0 KB)
📄 inference.py (2.7 KB)
📁 model
📄 __init__.py (79.0 B)
__pycache__
__init__.cpython-39.pyc (276.0 B)
crf.cpython-39【耗时整理‖免费分享 cunlove.cn】.pyc (4.9 KB)
bert_idcnn_crf【耗时整理‖免费分享 cunlove.cn】.py (2.3 KB)
cnn.py (4.0 KB)
crf.py (14.2 KB)
README.md (505.0 B)
saved_model
⚠️ 无法获取目录内容或目录为空
train.py (4.1 KB)
utils.py (6.7 KB)
idcnn_
.idea
.gitignore (184.0 B)
.name (12.0 B)
deployment【耗时整理‖免费分享 cunlove.cn】.xml (1.0 KB)
idcnn.iml (452.0 B)
inspectionProfiles
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Project_Default.xml (1.9 KB)
misc.xml (188.0 B)
modules.xml (269.0 B)
workspace.xml (3.8 KB)
__pycache__
config.cpython-311.pyc (927.0 B)
utils.cpython-311.pyc (9.8 KB)
config.py (764.0 B)
data
input【耗时整理‖免费分享 cunlove.cn】.txt (41.0 B)
output.txt (48.0 B)
process.py (767.0 B)
test.txt (170.1 KB)
train.txt (543.5 KB)
vocab.txt (107.0 KB)
inference.py (2.7 KB)
model
__init__.py (80.0 B)
__pycache__
__init__.cpython-311.pyc (283.0 B)
cnn_.cpython-311.pyc (5.8 KB)
crf_.cpython-311.pyc (13.5 KB)
idcnn_crf.cpython-311.pyc (3.6 KB)
cnn_.py (4.0 KB)
crf_.py (14.2 KB)
idcnn_crf【耗时整理‖免费分享 cunlove.cn】.py (3.4 KB)
README.md (505.0 B)
saved_model
⚠️ 无法获取目录内容或目录为空
train【耗时整理‖免费分享 cunlove.cn】.py (4.0 KB)
utils【耗时整理‖免费分享 cunlove.cn】.py (6.6 KB)
阶段012-CHAT_GPT与大模型
bert-base-chinese
.gitattributes (391.0 B)
config.json (624.0 B)
flax_model【耗时整理‖免费分享 cunlove.cn】.msgpack (390.2 MB)
pytorch_model.bin (392.5 MB)
README.md (21.0 B)
tokenizer.json (262.6 KB)
tokenizer_config【耗时整理‖免费分享 cunlove.cn】.json (29.0 B)
vocab【耗时整理‖免费分享 cunlove.cn】.txt (107.0 KB)
day01
01-课件
第一章：大模型背景简介
01-LLM基础知识.pdf (1.7 MB)
02-LLM主要类别架构.pdf (2.8 MB)
03-代码
LLM_Base-day01
__init__【耗时整理‖免费分享 cunlove.cn】.py
⚠️ 无法获取目录内容或目录为空
BLEU_demo.py (1.1 KB)
PPL_demo.py (890.0 B)
ROUGE_demo.py (655.0 B)
04-预习资料
第二章：主流大模型介绍
01-ChatGPT模型原理.pdf (5.1 MB)
02-LLM主流开源代表模型.pdf (1.1 MB)
day02
01-课件
第二章：主流大模型介绍
01-ChatGPT模型原理【耗时整理‖免费分享 cunlove.cn】.pdf (5.1 MB)
02-LLM主流开源代表模型【耗时整理‖免费分享 cunlove.cn】.pdf (1.1 MB)
03-预习资料
第三章：大模型微调主要方式
01-大模型Prompt-Tuning技术入门.pdf (2.4 MB)
02-大模型Prompt-Tuning技术进阶.pdf (1.6 MB)
03-大模型应用框架-LangChain.pdf (1.1 MB)
day03
01-课件
第三章：大模型微调主要方式
01-大模型Prompt-Tuning技术入门.pdf (2.4 MB)
02-大模型Prompt-Tuning技术进阶.pdf (1.6 MB)
03-大模型应用框架-LangChain.pdf (1.1 MB)
03-代码
⚠️ 无法获取目录内容或目录为空
03-代码_20240401_195154
⚠️ 无法获取目录内容或目录为空
day04
01-课件
第三章：大模型微调主要方式
01-大模型Prompt-Tuning技术入门.pdf (2.4 MB)
02-大模型Prompt-Tuning技术进阶.pdf (1.6 MB)
03-大模型应用框架-LangChain.pdf (1.1 MB)
03-代码
langchain_use
Agents_module
__init__【耗时整理‖免费分享 cunlove.cn】.py
⚠️ 无法获取目录内容或目录为空
agents_apply.py (968.0 B)
AI17_agent【耗时整理‖免费分享 cunlove.cn】.py (953.0 B)
Ai17_findall_tools.py (93.0 B)
Chain_module
__init__【耗时整理‖免费分享 cunlove.cn】.py
⚠️ 无法获取目录内容或目录为空
AI7_muti_shot_chain.py (1.0 KB)
AI17-zero-shot_chain.py (561.0 B)
Simple_Sequential_Chain.py (1.0 KB)
zero-shot-langchain.py (562.0 B)
Indexes_module
AI17_dc.py (499.0 B)
AI17_ds.py (412.0 B)
AI17_retriever.py (804.0 B)
AI17_Vector.py (873.0 B)
dc_apply.py (428.0 B)
js_apply.py (1.1 KB)
pku.txt (1.7 KB)
pku1.txt (1.7 KB)
ts_apply.py (399.0 B)
vc_apply【耗时整理‖免费分享 cunlove.cn】.py (758.0 B)
衣服属性.txt (819.0 B)
Knowledge_QA
__init__.py
⚠️ 无法获取目录内容或目录为空
faiss
product
index.faiss (15.0 KB)
index.pkl (1.6 KB)
get_vector.py (1.2 KB)
main.py (1.4 KB)
model.py (1.4 KB)
moka-ai
m3e-base
1_Pooling
config【耗时整理‖免费分享 cunlove.cn】.json (190.0 B)
config.json (932.0 B)
gitattributes【耗时整理‖免费分享 cunlove.cn】 (1.5 KB)
model.safetensors (390.1 MB)
modules.json (229.0 B)
pytorch_model.bin (390.2 MB)
README【耗时整理‖免费分享 cunlove.cn】.md (26.0 KB)
sentence_bert_config【耗时整理‖免费分享 cunlove.cn】.json (53.0 B)
special_tokens_map.json (125.0 B)
tokenizer_config【耗时整理‖免费分享 cunlove.cn】.json (342.0 B)
tokenizer【耗时整理‖免费分享 cunlove.cn】.json (428.8 KB)
vocab.txt (107.0 KB)
test.py (822.0 B)
衣服属性【耗时整理‖免费分享 cunlove.cn】.txt (819.0 B)
langchain_glm
__init__.py
⚠️ 无法获取目录内容或目录为空
model.py (1.4 KB)
Memory_module
__init__.py
⚠️ 无法获取目录内容或目录为空
AI17_message_dict.py (381.0 B)
AI17_Message_history.py (652.0 B)
AI17_test.py (296.0 B)
MessageHistory_apply.py (183.0 B)
MH_llm_apply【耗时整理‖免费分享 cunlove.cn】.py (597.0 B)
test.py (975.0 B)
Models_module
__init__.py
⚠️ 无法获取目录内容或目录为空
AI17_ChatModel.py (777.0 B)
AI17_ChatPrompt【耗时整理‖免费分享 cunlove.cn】.py (1.0 KB)
AI17_embedding【耗时整理‖免费分享 cunlove.cn】.py (652.0 B)
chatModel_apply.py (1.9 KB)
chatModel_prompt.py (824.0 B)
embeddingModel.py (402.0 B)
google
flan-t5-small
config.json (1.4 KB)
flax_model.msgpack (293.6 MB)
generation_config.json (147.0 B)
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model.safetensors (293.6 MB)
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README.md (10.6 KB)
special_tokens_map.json (2.1 KB)
spiece.model (773.1 KB)
tokenizer.json (2.3 MB)
tokenizer_config【耗时整理‖免费分享 cunlove.cn】.json (2.5 KB)
llms_apply.py (280.0 B)
test.py (813.0 B)
Prompts_module
__init__.py
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AI17_few_shot_prompt.py (960.0 B)
AI17_zero_shot_prompt.py (705.0 B)
few-shot.py (1.1 KB)
zero-shot.py (606.0 B)
04-预习课件
第五章：基于Prompt方法的小样本文本分类实战
01-BERT+PET方式文本分类介绍.pdf (964.1 KB)
02-BERT+PET方式数据处理介绍.pdf (526.9 KB)
03-BERT+PET方式模型代码实现与训练.pdf (637.9 KB)
04-BERT+P-Tuning方式文本分类介绍.pdf (937.8 KB)
05-BERT+P-Tuning方式数据处理介绍【耗时整理‖免费分享 cunlove.cn】.pdf (500.4 KB)
06-BERT+P-Tuning方式模型代码实现与训练.pdf (671.4 KB)
05-预习代码
PET
__init__.py
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checkpoints
model_400
config.json (870.0 B)
pytorch_model.bin (390.3 MB)
special_tokens_map.json (125.0 B)
tokenizer.json (428.8 KB)
tokenizer_config.json (372.0 B)
vocab.txt (107.0 KB)
model_best
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vocab.txt (107.0 KB)
data
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prompt.txt (37.0 B)
train.txt (9.6 KB)
verbalizer.txt (139.0 B)
data_handle
__init__.py
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data_loader.py (1.8 KB)
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test.py (774.0 B)
Documents
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12.1面试10道题【耗时整理‖免费分享 cunlove.cn】.md (6.5 KB)
Adobe
After Effects 2023
User Libraries
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User Presets
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Video Libraries
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Common
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Premiere Pro
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Profile-王建兴
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ambience
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sfx
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Overlay Presets
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Timecode Presets
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📁 Win
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WeChat Files
wxid_tn62452emllm22
FileStorage
Temp
1702781401127.jpg (188.1 KB)
1702781401142.jpg (188.1 KB)
inference.py (3.8 KB)
nohup.out (8.6 KB)
pet_config.py (1.1 KB)
train.py (7.0 KB)
utils
__init__.py
⚠️ 无法获取目录内容或目录为空
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metirc_utils.py (4.4 KB)
verbalizer.py (7.9 KB)
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阶段014-亿图人脸支付项目
01.讲义.zip (208.2 MB)
02.code.zip (12.4 GB)
06.CV参考简历
cv模拟面试题集合答案版
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阶段015-AI智慧交通项目实战
01-讲义
site
404.html (18.3 KB)
assets
images
favicon.png (1.8 KB)
javascripts
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lunr
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📁 车道线检测实现
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📁 calibrateT
📄 index.html (80.8 KB)
📁 laneline
📄 index.html (39.4 KB)
📁 linepara
📄 index.html (41.5 KB)
📁 main
📄 index.html (23.6 KB)
📁 perspect
📄 index.html (29.1 KB)
📁 pipeline
📄 index.html (28.8 KB)
📁 ReadMe
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📁 跟踪算法
📁 01-车流量统计流程思想
📄 index.html (21.8 KB)
02-多目标跟踪
index.html (30.6 KB)
03-sort与deepsort
index【耗时整理‖免费分享 cunlove.cn】.html (22.9 KB)
04-匈牙利匹配
index.html (32.0 KB)
05-卡尔曼滤波
index.html (44.4 KB)
06-卡尔曼滤波实践
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07-sort算法实现
index.html (110.4 KB)
08-utils
index.html (26.3 KB)
09-sort完成目标跟踪
index.html (58.7 KB)
10-deepsort
index.html (64.2 KB)
images
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📄 hmcxy.svg (9.2 KB)
📄 index.html (18.9 KB)
📁 简介
📄 index.html (19.3 KB)
📁 README.assets
📄 image-20200430092045062.png (169.2 KB)
📁 OpenCV
📁 01-OpenCV简介
📄 index.html (23.1 KB)
📁 02-基本操作
📄 index.html (46.2 KB)
📁 03-几何变换
📄 index.html (52.6 KB)
📁 04-平滑方法
📄 index【耗时整理‖免费分享 cunlove.cn】.html (40.6 KB)
📁 05-边缘检测
📄 index.html (48.7 KB)
📁 06-视频读写
📄 index【耗时整理‖免费分享 cunlove.cn】.html (29.4 KB)
📁 assets
📄 image-20190925154009533.png (316.5 KB)
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📁 search
📄 search_index.json (408.7 KB)
📄 sitemap.xml (109.0 B)
📁 项目简介
📁 ReadMe
📄 index.html (21.9 KB)
📁 ReadMe.assets
📄 carout.mp4 (218.6 KB)
📄 image-20200429223754471【耗时整理‖免费分享 cunlove.cn】.png (317.0 KB)
📄 lineoutput.mp4 (17.7 MB)
📄 output.mp4 (23.8 MB)
📁 yoloV8
📁 01-V8简介
📄 index.html (46.5 KB)
📁 02-效果展示
📄 index.html (62.6 KB)
📁 03-V8详解
📄 index.html (31.9 KB)
📁 04-训练自己的V8模型
📄 index【耗时整理‖免费分享 cunlove.cn】.html (71.9 KB)
📁 images
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📁 02-代码
📁 laneDection
📁 .idea
📄 .gitignore (176.0 B)
📁 inspectionProfiles
📄 Project_Default.xml (7.6 KB)
📄 laneDection.iml (445.0 B)
📄 misc.xml (660.0 B)
📄 modules【耗时整理‖免费分享 cunlove.cn】.xml (274.0 B)
📄 vcs.xml (192.0 B)
📄 workspace.xml (11.0 KB)
📁 camera_cal
📄 calibration1【耗时整理‖免费分享 cunlove.cn】.jpg (123.5 KB)
📄 calibration2.jpg (134.7 KB)
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📄 main.py (13.6 KB)
📄 output.mp4 (2.8 MB)
📄 output123【耗时整理‖免费分享 cunlove.cn】.mp4 (139.0 KB)
📄 output456.mp4 (1.8 MB)
📄 project_video.mp4 (24.1 MB)
📁 test
📄 frame45.jpg (196.5 KB)
📄 straight_lines1.jpg (151.4 KB)
📄 straight_lines2.jpg (188.6 KB)
📄 straight_lines2_line【耗时整理‖免费分享 cunlove.cn】.jpg (231.2 KB)
📄 straight_lines2_out【耗时整理‖免费分享 cunlove.cn】.jpg (232.5 KB)
📄 test1.jpg (212.1 KB)
📄 test2.jpg (170.1 KB)
📄 test3.jpg (144.1 KB)
📄 test5【耗时整理‖免费分享 cunlove.cn】.jpg (238.2 KB)
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📁 OpenCV
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val.md (7.0 KB)
quickstart【耗时整理‖免费分享 cunlove.cn】.md (11.8 KB)
tasks
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ko
datasets
index.md (10.2 KB)
index.md (9.7 KB)
models
fast-sam.md (10.1 KB)
index.md (6.1 KB)
mobile-sam【耗时整理‖免费分享 cunlove.cn】.md (6.2 KB)
rtdetr.md (6.7 KB)
sam.md (13.7 KB)
yolo-nas.md (7.7 KB)
yolov3.md (6.0 KB)
yolov4.md (6.7 KB)
yolov5.md (11.1 KB)
yolov6【耗时整理‖免费分享 cunlove.cn】.md (7.2 KB)
yolov7.md (6.5 KB)
yolov8.md (18.3 KB)
modes
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index【耗时整理‖免费分享 cunlove.cn】.md (5.2 KB)
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tasks
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mkdocs.yml (26.3 KB)
mkdocs_ar【耗时整理‖免费分享 cunlove.cn】.yml (6.5 KB)
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mkdocs_ja.yml (6.5 KB)
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mkdocs_pt.yml (6.3 KB)
mkdocs_ru.yml (6.7 KB)
mkdocs_zh.yml (6.2 KB)
overrides
assets
favicon.ico (9.4 KB)
javascript
extra.js (3.1 KB)
partials
comments【耗时整理‖免费分享 cunlove.cn】.html (1.7 KB)
source-file.html (858.0 B)
stylesheets
style.css (1.2 KB)
pt
datasets
index.md (10.2 KB)
index.md (9.6 KB)
models
fast-sam【耗时整理‖免费分享 cunlove.cn】.md (10.3 KB)
index.md (6.1 KB)
mobile-sam【耗时整理‖免费分享 cunlove.cn】.md (6.1 KB)
rtdetr.md (6.6 KB)
sam.md (14.5 KB)
yolo-nas.md (8.2 KB)
yolov3.md (6.4 KB)
yolov4.md (7.0 KB)
yolov5.md (11.5 KB)
yolov6.md (7.3 KB)
yolov7.md (6.8 KB)
yolov8.md (19.2 KB)
modes
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predict.md (13.9 KB)
track.md (11.4 KB)
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val.md (6.2 KB)
quickstart.md (10.4 KB)
tasks
classify【耗时整理‖免费分享 cunlove.cn】.md (11.5 KB)
detect.md (11.9 KB)
index【耗时整理‖免费分享 cunlove.cn】.md (3.4 KB)
pose【耗时整理‖免费分享 cunlove.cn】.md (12.9 KB)
segment.md (12.7 KB)
README.md (5.2 KB)
ru
datasets
index.md (15.9 KB)
index.md (13.4 KB)
models
fast-sam.md (15.3 KB)
index.md (8.9 KB)
mobile-sam.md (9.1 KB)
rtdetr.md (9.7 KB)
sam.md (21.7 KB)
yolo-nas.md (12.4 KB)
yolov3.md (9.5 KB)
yolov4.md (10.8 KB)
yolov5.md (14.6 KB)
yolov6.md (10.9 KB)
yolov7.md (10.8 KB)
yolov8.md (22.6 KB)
modes
benchmark.md (8.7 KB)
export.md (11.3 KB)
index【耗时整理‖免费分享 cunlove.cn】.md (8.6 KB)
predict.md (18.6 KB)
track.md (15.8 KB)
train.md (15.0 KB)
val.md (9.1 KB)
quickstart.md (14.2 KB)
tasks
classify.md (14.5 KB)
detect【耗时整理‖免费分享 cunlove.cn】.md (14.6 KB)
index.md (5.4 KB)
pose.md (14.8 KB)
segment.md (15.5 KB)
update_translations.py (10.0 KB)
zh
datasets
index.md (8.2 KB)
index.md (8.6 KB)
models
fast-sam.md (8.5 KB)
index.md (5.2 KB)
mobile-sam.md (5.3 KB)
rtdetr.md (5.4 KB)
sam.md (11.6 KB)
yolo-nas.md (6.7 KB)
yolov3.md (5.2 KB)
yolov4.md (5.3 KB)
yolov5【耗时整理‖免费分享 cunlove.cn】.md (10.3 KB)
yolov6.md (5.9 KB)
yolov7.md (5.2 KB)
yolov8.md (17.0 KB)
modes
benchmark.md (6.1 KB)
export.md (7.4 KB)
index【耗时整理‖免费分享 cunlove.cn】.md (4.0 KB)
predict.md (36.4 KB)
track【耗时整理‖免费分享 cunlove.cn】.md (12.5 KB)
train.md (16.0 KB)
val.md (4.9 KB)
quickstart.md (16.6 KB)
tasks
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detect.md (10.6 KB)
index.md (2.5 KB)
pose.md (11.6 KB)
segment【耗时整理‖免费分享 cunlove.cn】.md (11.3 KB)
examples
hub.ipynb (4.0 KB)
README.md (4.8 KB)
tutorial【耗时整理‖免费分享 cunlove.cn】.ipynb (32.7 KB)
YOLOv8-CPP-Inference
CMakeLists.txt (547.0 B)
inference.cpp (5.5 KB)
inference.h (2.0 KB)
main.cpp (2.2 KB)
README.md (1.8 KB)
YOLOv8-LibTorch-CPP-Inference
CMakeLists【耗时整理‖免费分享 cunlove.cn】.txt (1.7 KB)
main【耗时整理‖免费分享 cunlove.cn】.cc (10.4 KB)
README.md (624.0 B)
YOLOv8-ONNXRuntime
main【耗时整理‖免费分享 cunlove.cn】.py (8.6 KB)
README.md (1.3 KB)
YOLOv8-ONNXRuntime-CPP
CMakeLists【耗时整理‖免费分享 cunlove.cn】.txt (3.4 KB)
inference.h (1.8 KB)
inference【耗时整理‖免费分享 cunlove.cn】.cpp (12.6 KB)
main.cpp (5.5 KB)
README.md (3.3 KB)
YOLOv8-ONNXRuntime-Rust
Cargo.toml (796.0 B)
README.md (6.6 KB)
📁 src
📄 cli【耗时整理‖免费分享 cunlove.cn】.rs (1.7 KB)
📄 lib.rs (3.3 KB)
📄 main.rs (626.0 B)
📄 model.rs (22.2 KB)
📄 ort_backend.rs (16.4 KB)
📄 yolo_result.rs (5.2 KB)
📁 YOLOv8-OpenCV-ONNX-Python
📄 main.py (4.1 KB)
📄 README.md (356.0 B)
📁 YOLOv8-Region-Counter
📄 readme.md (5.1 KB)
📄 yolov8_region_counter.py (8.3 KB)
📁 YOLOv8-SAHI-Inference-Video
📄 readme.md (2.7 KB)
📄 yolov8_sahi【耗时整理‖免费分享 cunlove.cn】.py (4.2 KB)
📁 YOLOv8-Segmentation-ONNXRuntime-Python
📄 main.py (13.3 KB)
📄 README.md (2.5 KB)
📄 LICENSE【耗时整理‖免费分享 cunlove.cn】 (33.7 KB)
📄 MANIFEST.in (200.0 B)
📄 README.md (28.7 KB)
📄 README.zh-CN.md (27.8 KB)
📄 requirements【耗时整理‖免费分享 cunlove.cn】.txt (1.4 KB)
📄 setup.cfg (2.0 KB)
📄 setup.py (4.2 KB)
📁 tests
📄 conftest.py (3.1 KB)
📄 test_cli.py (4.9 KB)
📄 test_cuda【耗时整理‖免费分享 cunlove.cn】.py (3.4 KB)
📄 test_engine.py (4.5 KB)
📄 test_integrations.py (4.6 KB)
📄 test_python.py (17.9 KB)
📁 ultralytics
📄 __init__.py (463.0 B)
📁 assets
📄 bus.jpg (134.2 KB)
📄 zidane.jpg (49.2 KB)
📁 cfg
📄 __init__.py (19.4 KB)
📁 datasets
📄 Argoverse.yaml (2.8 KB)
📄 coco-pose【耗时整理‖免费分享 cunlove.cn】.yaml (1.5 KB)
📄 coco.yaml (2.5 KB)
📄 coco8-pose.yaml (895.0 B)
📄 coco8-seg.yaml (1.8 KB)
📄 coco8.yaml (1.7 KB)
📄 coco128-seg.yaml (1.8 KB)
📄 coco128.yaml (1.8 KB)
📄 DOTAv2.yaml (1.1 KB)
📄 GlobalWheat2020【耗时整理‖免费分享 cunlove.cn】.yaml (1.9 KB)
📄 ImageNet.yaml (41.4 KB)
📄 Objects365.yaml (9.0 KB)
📄 open-images-v7【耗时整理‖免费分享 cunlove.cn】.yaml (12.1 KB)
📄 SKU-110K.yaml (2.4 KB)
📄 tiger-pose.yaml (797.0 B)
📄 VisDrone.yaml (2.9 KB)
📄 VOC.yaml (3.4 KB)
📄 xView.yaml (5.0 KB)
📄 default.yaml (7.6 KB)
📁 models
📄 README.md (3.0 KB)
📁 rt-detr
📄 rtdetr-l.yaml (1.9 KB)
📄 rtdetr-resnet50.yaml (1.5 KB)
📄 rtdetr-resnet101.yaml (1.5 KB)
📄 rtdetr-x【耗时整理‖免费分享 cunlove.cn】.yaml (2.1 KB)
📁 v3
📄 yolov3-spp.yaml (1.5 KB)
📄 yolov3-tiny.yaml (1.2 KB)
📄 yolov3.yaml (1.5 KB)
📁 v5
📄 yolov5-p6.yaml (1.9 KB)
📄 yolov5【耗时整理‖免费分享 cunlove.cn】.yaml (1.5 KB)
📁 v6
📄 yolov6【耗时整理‖免费分享 cunlove.cn】.yaml (1.7 KB)
📁 v8
📄 yolov8-cls.yaml (920.0 B)
📄 yolov8-ghost-p2.yaml (2.3 KB)
📄 yolov8-ghost-p6.yaml (2.3 KB)
📄 yolov8-ghost.yaml (2.1 KB)
📄 yolov8-p2.yaml (1.7 KB)
📄 yolov8-p6.yaml (1.8 KB)
📄 yolov8-pose-p6.yaml (1.9 KB)
📄 yolov8-pose.yaml (1.5 KB)
📄 yolov8-rtdetr.yaml (1.9 KB)
📄 yolov8-seg-p6.yaml (1.8 KB)
📄 yolov8-seg.yaml (1.5 KB)
📄 yolov8.yaml (1.9 KB)
📁 trackers
📄 botsort.yaml (890.0 B)
📄 bytetrack.yaml (694.0 B)
📁 data
📄 __init__【耗时整理‖免费分享 cunlove.cn】.py (389.0 B)
📄 annotator【耗时整理‖免费分享 cunlove.cn】.py (2.1 KB)
📄 augment.py (47.1 KB)
📄 base.py (13.0 KB)
📄 build.py (6.5 KB)
📄 converter.py (12.2 KB)
📄 dataset.py (15.6 KB)
📄 loaders.py (21.7 KB)
📁 scripts
📄 download_weights.sh (568.0 B)
📄 get_coco.sh (1.7 KB)
📄 get_coco128.sh (619.0 B)
📄 get_imagenet.sh (1.6 KB)
📄 utils.py (29.0 KB)
📁 engine
📄 __init__.py (42.0 B)
📄 exporter【耗时整理‖免费分享 cunlove.cn】.py (50.0 KB)
📄 model.py (19.6 KB)
📄 predictor.py (17.4 KB)
📄 results.py (22.9 KB)
📄 trainer.py (33.1 KB)
📄 tuner.py (11.4 KB)
📄 validator.py (14.1 KB)
📁 hub
📄 __init__.py (3.6 KB)
📄 auth.py (5.2 KB)
📄 session【耗时整理‖免费分享 cunlove.cn】.py (8.2 KB)
📄 utils【耗时整理‖免费分享 cunlove.cn】.py (9.4 KB)
📁 models
📄 __init__.py (173.0 B)
📁 fastsam
📄 __init__.py (254.0 B)
📄 model.py (1.0 KB)
📄 predict.py (4.0 KB)
📄 prompt.py (15.9 KB)
📄 utils.py (2.1 KB)
📄 val.py (1.9 KB)
📁 nas
📄 __init__.py (179.0 B)
📄 model.py (2.8 KB)
📄 predict.py (2.2 KB)
📄 val【耗时整理‖免费分享 cunlove.cn】.py (1.8 KB)
📁 rtdetr
📄 __init__.py (197.0 B)
📄 model【耗时整理‖免费分享 cunlove.cn】.py (2.1 KB)
📄 predict【耗时整理‖免费分享 cunlove.cn】.py (3.3 KB)
📄 train.py (3.7 KB)
📄 val.py (6.5 KB)
📁 sam
📄 __init__.py (144.0 B)
📄 amg.py (7.9 KB)
📄 build【耗时整理‖免费分享 cunlove.cn】.py (4.8 KB)
📄 model.py (4.6 KB)
📁 modules
📄 __init__【耗时整理‖免费分享 cunlove.cn】.py (42.0 B)
📄 decoders【耗时整理‖免费分享 cunlove.cn】.py (7.6 KB)
📄 encoders.py (24.4 KB)
📄 sam.py (2.7 KB)
📄 tiny_encoder.py (28.3 KB)
📄 transformer.py (10.9 KB)
📄 predict.py (23.2 KB)
📁 utils
📄 __init__.py (42.0 B)
📄 loss【耗时整理‖免费分享 cunlove.cn】.py (15.6 KB)
📄 ops.py (13.0 KB)
📁 yolo
📄 __init__.py (195.0 B)
📁 classify
📄 __init__【耗时整理‖免费分享 cunlove.cn】.py (355.0 B)
📄 predict.py (1.9 KB)
📄 train.py (6.6 KB)
📄 val.py (4.8 KB)
📁 detect
📄 __init__.py (229.0 B)
📄 predict.py (1.6 KB)
📄 train.py (5.4 KB)
📄 val.py (12.7 KB)
📄 model.py (1.4 KB)
📁 pose
📄 __init__.py (199.0 B)
📄 predict.py (2.5 KB)
📄 train.py (2.8 KB)
📄 val【耗时整理‖免费分享 cunlove.cn】.py (10.4 KB)
📁 segment
📄 __init__.py (247.0 B)
📄 predict.py (2.6 KB)
📄 train.py (2.2 KB)
📄 val.py (11.7 KB)
📁 nn
📄 __init__.py (555.0 B)
📄 autobackend.py (26.4 KB)
📁 modules
📄 __init__.py (1.7 KB)
📄 block.py (14.1 KB)
📄 conv.py (12.5 KB)
📄 head【耗时整理‖免费分享 cunlove.cn】.py (17.9 KB)
📄 transformer.py (17.5 KB)
📄 utils.py (3.4 KB)
📄 tasks.py (36.6 KB)
📁 solutions
📄 __init__.py (42.0 B)
📄 ai_gym.py (6.1 KB)
📄 heatmap.py (10.1 KB)
📄 object_counter.py (9.1 KB)
📁 trackers
📄 __init__.py (227.0 B)
📄 basetrack【耗时整理‖免费分享 cunlove.cn】.py (3.5 KB)
📄 bot_sort.py (8.4 KB)
📄 byte_tracker【耗时整理‖免费分享 cunlove.cn】.py (18.0 KB)
📄 README【耗时整理‖免费分享 cunlove.cn】.md (13.1 KB)
📄 track.py (2.8 KB)
📁 utils
📄 __init__【耗时整理‖免费分享 cunlove.cn】.py (42.0 B)
📄 gmc.py (13.7 KB)
📄 kalman_filter【耗时整理‖免费分享 cunlove.cn】.py (14.5 KB)
📄 matching.py (4.9 KB)
📁 utils
📄 __init__.py (33.0 KB)
📄 autobatch.py (3.8 KB)
📄 benchmarks【耗时整理‖免费分享 cunlove.cn】.py (17.8 KB)
📁 callbacks
📄 __init__.py (214.0 B)
📄 base.py (5.6 KB)
📄 clearml.py (6.1 KB)
📄 comet.py (13.5 KB)
📄 dvc.py (4.9 KB)
📄 hub.py (3.3 KB)
📄 mlflow.py (4.7 KB)
📄 neptune.py (3.6 KB)
📄 raytune.py (608.0 B)
📄 tensorboard.py (2.8 KB)
📄 wb.py (6.6 KB)
📄 checks.py (26.9 KB)
📄 dist【耗时整理‖免费分享 cunlove.cn】.py (2.3 KB)
📄 downloads.py (20.5 KB)
📄 errors.py (816.0 B)
📄 files.py (5.2 KB)
📄 instance.py (15.6 KB)
📄 loss.py (25.1 KB)
📄 metrics【耗时整理‖免费分享 cunlove.cn】.py (46.3 KB)
📄 ops.py (30.6 KB)
📄 patches.py (2.2 KB)
📄 plotting.py (40.7 KB)
📄 tal.py (13.4 KB)
📄 torch_utils.py (24.0 KB)
📄 triton.py (3.8 KB)
📄 tuner.py (6.1 KB)
📁 yolov8
📁 .idea
📄 .gitignore (176.0 B)
📄 .name (6.0 B)
📁 inspectionProfiles
📄 profiles_settings.xml (174.0 B)
📄 Project_Default.xml (2.8 KB)
📄 misc.xml (195.0 B)
📄 modules.xml (284.0 B)
📄 workspace.xml (8.8 KB)
📄 yolov8.iml (453.0 B)
📁 __pycache__
📄 helper.cpython-37【耗时整理‖免费分享 cunlove.cn】.pyc (2.3 KB)
📄 settings.cpython-37.pyc (910.0 B)
📄 app.py (3.7 KB)
📄 coco8.yaml (1.7 KB)
📄 config.yaml (263.0 B)
📄 helper【耗时整理‖免费分享 cunlove.cn】.py (3.4 KB)
📁 images
📄 cat.jpg (115.9 KB)
📄 cat_detected.jpg (99.7 KB)
📄 kite.jpg (69.5 KB)
📄 requirements.txt (20.0 B)
📁 runs
📁 detect
📁 predict
📄 cat【耗时整理‖免费分享 cunlove.cn】.jpg (96.4 KB)
📁 predict2
📄 cat.jpg (96.4 KB)
📁 predict3
📄 cat【耗时整理‖免费分享 cunlove.cn】.jpg (96.4 KB)
📁 predict4
📄 cat.jpg (96.4 KB)
📁 predict5
📄 cat.jpg (96.4 KB)
📁 train
📄 args.yaml (1.3 KB)
📁 weights
⚠️ 无法获取目录内容或目录为空
📁 train2
📄 args【耗时整理‖免费分享 cunlove.cn】.yaml (1.4 KB)
📁 weights
⚠️ 无法获取目录内容或目录为空
📁 train3
📄 args.yaml (1.4 KB)
📄 confusion_matrix.png (533.8 KB)
📄 confusion_matrix_normalized.png (539.8 KB)
📄 labels_correlogram【耗时整理‖免费分享 cunlove.cn】.jpg (179.1 KB)
📄 labels【耗时整理‖免费分享 cunlove.cn】.jpg (97.6 KB)
📄 results.csv (49.5 KB)
📄 results.png (273.9 KB)
📄 train_batch0【耗时整理‖免费分享 cunlove.cn】.jpg (394.8 KB)
train_batch1.jpg (347.3 KB)
train_batch2【耗时整理‖免费分享 cunlove.cn】.jpg (414.0 KB)
train_batch140.jpg (218.1 KB)
train_batch141.jpg (322.9 KB)
train_batch142.jpg (300.3 KB)
val_batch0_labels.jpg (375.4 KB)
val_batch0_pred【耗时整理‖免费分享 cunlove.cn】.jpg (364.6 KB)
weights
best.pt (6.2 MB)
last.pt (6.2 MB)
train4
.ipynb_checkpoints
args-checkpoint.yaml (1.4 KB)
PR_curve-checkpoint.png (303.3 KB)
results-checkpoint.csv (49.5 KB)
results-checkpoint.png (230.2 KB)
val_batch1_pred-checkpoint.jpg (328.3 KB)
val_batch2_labels-checkpoint【耗时整理‖免费分享 cunlove.cn】.jpg (319.6 KB)
val_batch2_pred-checkpoint.jpg (323.1 KB)
args.yaml (1.4 KB)
confusion_matrix.png (198.7 KB)
confusion_matrix_normalized.png (174.7 KB)
F1_curve【耗时整理‖免费分享 cunlove.cn】.png (322.3 KB)
labels.jpg (204.4 KB)
labels_correlogram.jpg (251.2 KB)
P_curve.png (234.2 KB)
PR_curve.png (303.3 KB)
R_curve.png (319.3 KB)
results.csv (49.5 KB)
results.png (230.2 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2.jpg (621.1 KB)
train_batch168140.jpg (604.5 KB)
train_batch168141.jpg (502.4 KB)
train_batch168142.jpg (556.4 KB)
val_batch0_labels.jpg (297.8 KB)
val_batch0_pred【耗时整理‖免费分享 cunlove.cn】.jpg (297.6 KB)
val_batch1_labels.jpg (323.4 KB)
val_batch1_pred.jpg (328.3 KB)
val_batch2_labels.jpg (319.6 KB)
val_batch2_pred【耗时整理‖免费分享 cunlove.cn】.jpg (323.1 KB)
weights
best.pt (6.0 MB)
last.pt (6.0 MB)
train5
args.yaml (1.4 KB)
labels.jpg (204.4 KB)
labels_correlogram.jpg (251.2 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2.jpg (621.1 KB)
weights
⚠️ 无法获取目录内容或目录为空
train6
.ipynb_checkpoints
results-checkpoint.png (241.5 KB)
args.yaml (1.4 KB)
confusion_matrix_normalized.png (166.0 KB)
confusion_matrix【耗时整理‖免费分享 cunlove.cn】.png (187.4 KB)
F1_curve.png (319.4 KB)
labels.jpg (204.4 KB)
labels_correlogram.jpg (251.2 KB)
P_curve.png (225.0 KB)
PR_curve.png (280.1 KB)
R_curve【耗时整理‖免费分享 cunlove.cn】.png (310.8 KB)
results.csv (49.5 KB)
results【耗时整理‖免费分享 cunlove.cn】.png (241.5 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2.jpg (621.1 KB)
train_batch168140.jpg (604.5 KB)
train_batch168141.jpg (502.4 KB)
train_batch168142.jpg (556.4 KB)
val_batch0_labels.jpg (297.8 KB)
val_batch0_pred.jpg (301.6 KB)
val_batch1_labels.jpg (323.4 KB)
val_batch1_pred.jpg (327.8 KB)
val_batch2_labels.jpg (319.6 KB)
val_batch2_pred.jpg (323.2 KB)
weights
best.pt (6.0 MB)
last.pt (6.0 MB)
val
.ipynb_checkpoints
confusion_matrix_normalized-checkpoint.png (175.8 KB)
F1_curve-checkpoint.png (322.5 KB)
P_curve-checkpoint【耗时整理‖免费分享 cunlove.cn】.png (234.3 KB)
PR_curve-checkpoint.png (303.5 KB)
val_batch1_pred-checkpoint.jpg (275.1 KB)
val_batch2_labels-checkpoint.jpg (323.8 KB)
val_batch2_pred-checkpoint.jpg (328.5 KB)
confusion_matrix.png (199.1 KB)
confusion_matrix_normalized.png (175.8 KB)
F1_curve.png (322.5 KB)
P_curve.png (234.3 KB)
PR_curve.png (303.5 KB)
R_curve.png (320.1 KB)
val_batch0_labels.jpg (293.5 KB)
val_batch0_pred.jpg (294.8 KB)
val_batch1_labels.jpg (274.6 KB)
val_batch1_pred.jpg (275.1 KB)
val_batch2_labels.jpg (323.8 KB)
val_batch2_pred.jpg (328.5 KB)
settings.py (1.3 KB)
train.py (221.0 B)
val.py (206.0 B)
videos
video_1【耗时整理‖免费分享 cunlove.cn】.mp4 (14.3 MB)
video_2.mp4 (10.6 MB)
video_3.mp4 (1.0 MB)
weights
yolov8n-cls.pt (5.3 MB)
yolov8n-seg.pt (6.7 MB)
yolov8n.pt (6.2 MB)
yolo_test.py (230.0 B)
yolov8n.yaml (1.9 KB)
yolov8-tracking-count
.idea
.gitignore (176.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (7.6 KB)
misc.xml (195.0 B)
modules.xml (294.0 B)
workspace.xml (10.2 KB)
yolov8-tracking-count【耗时整理‖免费分享 cunlove.cn】.iml (441.0 B)
__pycache__
sort.cpython-37.pyc (9.3 KB)
utils.cpython-37【耗时整理‖免费分享 cunlove.cn】.pyc (1.2 KB)
car_img.jpg (198.9 KB)
getXY.py (960.0 B)
kalmanfilter.py (3.7 KB)
output
⚠️ 无法获取目录内容或目录为空
requirements【耗时整理‖免费分享 cunlove.cn】.txt (60.0 B)
sort.py (10.2 KB)
static
in.png (19.6 KB)
main_counter.png (15.4 KB)
mask.png (16.8 KB)
out.png (17.2 KB)
trackingwithdeepsort.py (6.4 KB)
trackingwithSort.py (5.2 KB)
utils.py (1.4 KB)
Videos
traffic1.mp4 (4.7 MB)
traffic2.mp4 (33.7 MB)
weights
yolov8l.pt (83.7 MB)
yolov8n.pt (6.2 MB)
yolov8s.pt (21.5 MB)
04-练习代码
.idea
.gitignore (176.0 B)
04-练习代码.iml (284.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (7.6 KB)
misc.xml (195.0 B)
modules.xml (282.0 B)
workspace.xml (3.7 KB)
OpenCV
.idea
.gitignore (176.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (7.6 KB)
misc.xml (195.0 B)
modules.xml (264.0 B)
OpenCV.iml (284.0 B)
workspace.xml (9.5 KB)
01-IO操作.py (511.0 B)
02-图像加法.py (417.0 B)
03-几何变换.py (1.1 KB)
03-图像平滑.py (217.0 B)
04-边缘检测.py (641.0 B)
05-视频操作.py (472.0 B)
dog.avi (981.9 KB)
dog_10.avi (981.9 KB)
image
deer.jpeg (42.4 KB)
deergray.jpeg (64.9 KB)
dili.jpg (45.0 KB)
DOG.wmv (155.5 KB)
dogGauss.jpeg (385.2 KB)
dogsp.jpeg (175.6 KB)
face.jpeg (2.5 KB)
fruit.jpeg (109.0 KB)
horse.jpg (355.4 KB)
kids.jpg (40.7 KB)
littledog【耗时整理‖免费分享 cunlove.cn】.jpeg (75.8 KB)
rain【耗时整理‖免费分享 cunlove.cn】.jpg (40.2 KB)
view.jpg (29.8 KB)
img.jpg (177.0 KB)
img_gray.png (223.7 KB)
img【耗时整理‖免费分享 cunlove.cn】.png (665.9 KB)
out.avi (981.9 KB)
out.mp4 (258.0 B)
yolov8
.idea
.gitignore【耗时整理‖免费分享 cunlove.cn】 (176.0 B)
.name (6.0 B)
inspectionProfiles
profiles_settings.xml (174.0 B)
Project_Default.xml (2.8 KB)
misc.xml (195.0 B)
modules.xml (284.0 B)
workspace.xml (8.8 KB)
yolov8【耗时整理‖免费分享 cunlove.cn】.iml (453.0 B)
__pycache__
helper.cpython-37【耗时整理‖免费分享 cunlove.cn】.pyc (2.3 KB)
settings.cpython-37.pyc (921.0 B)
app.py (3.7 KB)
coco8.yaml (1.7 KB)
config.yaml (263.0 B)
helper【耗时整理‖免费分享 cunlove.cn】.py (3.4 KB)
images
cat.jpg (115.9 KB)
cat_detected【耗时整理‖免费分享 cunlove.cn】.jpg (99.7 KB)
kite.jpg (69.5 KB)
requirements.txt (20.0 B)
runs
detect
predict
cat.jpg (96.4 KB)
predict2
cat.jpg (96.4 KB)
predict3
cat【耗时整理‖免费分享 cunlove.cn】.jpg (96.4 KB)
predict4
cat.jpg (96.4 KB)
predict5
cat.jpg (96.4 KB)
train
args.yaml (1.3 KB)
weights
⚠️ 无法获取目录内容或目录为空
train2
args.yaml (1.4 KB)
weights
⚠️ 无法获取目录内容或目录为空
train3
args.yaml (1.4 KB)
confusion_matrix.png (533.8 KB)
confusion_matrix_normalized【耗时整理‖免费分享 cunlove.cn】.png (539.8 KB)
labels.jpg (97.6 KB)
labels_correlogram.jpg (179.1 KB)
results.csv (49.5 KB)
results.png (273.9 KB)
train_batch0.jpg (394.8 KB)
train_batch1.jpg (347.3 KB)
train_batch2.jpg (414.0 KB)
train_batch140.jpg (218.1 KB)
train_batch141.jpg (322.9 KB)
train_batch142.jpg (300.3 KB)
val_batch0_labels.jpg (375.4 KB)
val_batch0_pred.jpg (364.6 KB)
weights
best.pt (6.2 MB)
last.pt (6.2 MB)
train4
.ipynb_checkpoints
args-checkpoint.yaml (1.4 KB)
PR_curve-checkpoint【耗时整理‖免费分享 cunlove.cn】.png (303.3 KB)
results-checkpoint.csv (49.5 KB)
results-checkpoint【耗时整理‖免费分享 cunlove.cn】.png (230.2 KB)
val_batch1_pred-checkpoint.jpg (328.3 KB)
val_batch2_labels-checkpoint.jpg (319.6 KB)
val_batch2_pred-checkpoint.jpg (323.1 KB)
args.yaml (1.4 KB)
confusion_matrix.png (198.7 KB)
confusion_matrix_normalized.png (174.7 KB)
F1_curve.png (322.3 KB)
labels.jpg (204.4 KB)
labels_correlogram.jpg (251.2 KB)
P_curve【耗时整理‖免费分享 cunlove.cn】.png (234.2 KB)
PR_curve.png (303.3 KB)
R_curve.png (319.3 KB)
results.csv (49.5 KB)
results.png (230.2 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2.jpg (621.1 KB)
train_batch168140.jpg (604.5 KB)
train_batch168141【耗时整理‖免费分享 cunlove.cn】.jpg (502.4 KB)
train_batch168142.jpg (556.4 KB)
val_batch0_labels.jpg (297.8 KB)
val_batch0_pred.jpg (297.6 KB)
val_batch1_labels.jpg (323.4 KB)
val_batch1_pred.jpg (328.3 KB)
val_batch2_labels.jpg (319.6 KB)
val_batch2_pred.jpg (323.1 KB)
weights
best.pt (6.0 MB)
last【耗时整理‖免费分享 cunlove.cn】.pt (6.0 MB)
train5
args.yaml (1.4 KB)
labels.jpg (204.4 KB)
labels_correlogram.jpg (251.2 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2【耗时整理‖免费分享 cunlove.cn】.jpg (621.1 KB)
weights
⚠️ 无法获取目录内容或目录为空
train6
.ipynb_checkpoints
results-checkpoint.png (241.5 KB)
args.yaml (1.4 KB)
confusion_matrix.png (187.4 KB)
confusion_matrix_normalized.png (166.0 KB)
F1_curve.png (319.4 KB)
labels.jpg (204.4 KB)
labels_correlogram【耗时整理‖免费分享 cunlove.cn】.jpg (251.2 KB)
P_curve.png (225.0 KB)
PR_curve.png (280.1 KB)
R_curve.png (310.8 KB)
results.csv (49.5 KB)
results.png (241.5 KB)
train_batch0.jpg (679.0 KB)
train_batch1.jpg (653.3 KB)
train_batch2【耗时整理‖免费分享 cunlove.cn】.jpg (621.1 KB)
train_batch168140.jpg (604.5 KB)
train_batch168141.jpg (502.4 KB)
train_batch168142【耗时整理‖免费分享 cunlove.cn】.jpg (556.4 KB)
val_batch0_labels.jpg (297.8 KB)
val_batch0_pred.jpg (301.6 KB)
val_batch1_labels.jpg (323.4 KB)
val_batch1_pred【耗时整理‖免费分享 cunlove.cn】.jpg (327.8 KB)
val_batch2_labels【耗时整理‖免费分享 cunlove.cn】.jpg (319.6 KB)
val_batch2_pred.jpg (323.2 KB)
weights
best【耗时整理‖免费分享 cunlove.cn】.pt (6.0 MB)
last【耗时整理‖免费分享 cunlove.cn】.pt (6.0 MB)
val
.ipynb_checkpoints
confusion_matrix_normalized-checkpoint.png (175.8 KB)
F1_curve-checkpoint.png (322.5 KB)
P_curve-checkpoint.png (234.3 KB)
PR_curve-checkpoint.png (303.5 KB)
val_batch1_pred-checkpoint.jpg (275.1 KB)
val_batch2_labels-checkpoint【耗时整理‖免费分享 cunlove.cn】.jpg (323.8 KB)
val_batch2_pred-checkpoint【耗时整理‖免费分享 cunlove.cn】.jpg (328.5 KB)
confusion_matrix.png (199.1 KB)
confusion_matrix_normalized【耗时整理‖免费分享 cunlove.cn】.png (175.8 KB)
F1_curve.png (322.5 KB)
P_curve.png (234.3 KB)
PR_curve.png (303.5 KB)
R_curve.png (320.1 KB)
val_batch0_labels【耗时整理‖免费分享 cunlove.cn】.jpg (293.5 KB)
val_batch0_pred.jpg (294.8 KB)
val_batch1_labels.jpg (274.6 KB)
val_batch1_pred.jpg (275.1 KB)
val_batch2_labels【耗时整理‖免费分享 cunlove.cn】.jpg (323.8 KB)
val_batch2_pred.jpg (328.5 KB)
settings【耗时整理‖免费分享 cunlove.cn】.py (1.3 KB)
train.py (141.0 B)
val.py (206.0 B)
videos
video_1.mp4 (14.3 MB)
video_2【耗时整理‖免费分享 cunlove.cn】.mp4 (10.6 MB)
video_3【耗时整理‖免费分享 cunlove.cn】.mp4 (1.0 MB)
weights
yolov8n-cls.pt (5.3 MB)
yolov8n-seg【耗时整理‖免费分享 cunlove.cn】.pt (6.7 MB)
yolov8n.pt (6.2 MB)
yolo_test.py (230.0 B)
05-笔记
images
image-20240107090618155.png (257.0 KB)
image-20240109141451522.png (41.6 KB)
image-20240109141830482.png (148.8 KB)
image-20240110092756017【耗时整理‖免费分享 cunlove.cn】.png (18.3 KB)
image-20240110093700249.png (46.4 KB)
image-20240110151736284【耗时整理‖免费分享 cunlove.cn】.png (176.5 KB)
卡尔曼滤波.md (1.1 KB)
OpenCV.md (2.6 KB)
V8总结.md (1.9 KB)
image
.ipynb_checkpoints
04.图像的算数运算-checkpoint.ipynb (72.0 B)
deer.jpeg (42.4 KB)
deergray.jpeg (64.9 KB)
dili.jpg (45.0 KB)
DOG.wmv (155.5 KB)
dogGauss.jpeg (385.2 KB)
dogsp【耗时整理‖免费分享 cunlove.cn】.jpeg (175.6 KB)
face【耗时整理‖免费分享 cunlove.cn】.jpeg (2.5 KB)
fruit【耗时整理‖免费分享 cunlove.cn】.jpeg (109.0 KB)
horse.jpg (355.4 KB)
kids.jpg (40.7 KB)
littledog【耗时整理‖免费分享 cunlove.cn】.jpeg (75.8 KB)
rain.jpg (40.2 KB)
view.jpg (29.8 KB)
其他
02-ssh工具
finalshell_install.exe (83.8 MB)
finalshell_install.pkg (120.4 MB)
mysql-installer-community-8.0.32.0.msi (437.3 MB)
VMware
mac激活码.txt (423.0 B)
Mac系统VMWare虚拟机 NAT网络设置(固定IP).pdf (627.7 KB)
VMware-Fusion-13.0.1-21139760_universal.dmg (672.1 MB)
vmware15
01-VMware15安装.doc (412.5 KB)
VMware Keygen 14-15.exe (251.5 KB)
VMware-workstation-full-15.5.0-14665864.exe (541.1 MB)
vmware16pro
VMware-workstation-full-16.1.0-17198959.exe (621.5 MB)
序列号16【耗时整理‖免费分享 cunlove.cn】.txt (95.0 B)
2、版本控制Git
01-版本控制Git.rar (580.7 MB)
Git讲义.pdf (2.8 MB)
串讲
AI模型部署-17期加密【耗时整理‖免费分享 cunlove.cn】.zip (1.4 GB)
北京AI17期AI医生串讲
01 流程代码串讲.mkv (110.9 MB)
02 项目部署串讲.mkv (42.2 MB)
03 代码文件说明.mkv (16.3 MB)
04 查看日志方法.mkv (39.0 MB)
05 调试以及其他问题.mkv (233.7 MB)
李刚#AI关系抽取项目#17期加密.zip (5.7 GB)
ftp工具
11_FileZilla
Mac
FileZilla_3.41.2_macosx-x86.app.tar.bz2 (10.2 MB)
windows
FileZilla_3.41.2_win64-setup.exe (7.6 MB)
Git资料.zip (49.0 MB)
录屏软件
EVCapture
bin
avcodec-56【耗时整理‖免费分享 cunlove.cn】.dll (21.3 MB)
avdevice-56.dll (1.3 MB)
avfilter-5.dll (2.3 MB)
avformat-56.dll (5.7 MB)
avutil-54.dll (483.5 KB)
ev
AudioMic【耗时整理‖免费分享 cunlove.cn】.dll (47.5 KB)
AudioSpeex.dll (191.0 KB)
AudioSysEx.dll (94.5 KB)
AudioSysEx_win10.dll (57.0 KB)
AVEncode.dll (170.0 KB)
MixAudio.dll (34.0 KB)
MixVideo【耗时整理‖免费分享 cunlove.cn】.dll (33.5 KB)
evBridge482【耗时整理‖免费分享 cunlove.cn】.dll (332.5 KB)
EVCapture.exe (365.7 KB)
evdx.dll (26.0 KB)
EVPlayer3Lib【耗时整理‖免费分享 cunlove.cn】.dll (383.5 KB)
EVPlayer【耗时整理‖免费分享 cunlove.cn】.exe (1.4 MB)
EVUpdate【耗时整理‖免费分享 cunlove.cn】.exe (86.7 KB)
FFmpeg.exe (338.2 KB)
FLGetCpuID.dll (519.5 KB)
framecore4.1.dll (389.0 KB)
imageformats
qgif4.dll (34.5 KB)
qico4.dll (36.0 KB)
qjpeg4.dll (231.0 KB)
qmng4【耗时整理‖免费分享 cunlove.cn】.dll (355.5 KB)
qsvg4.dll (28.0 KB)
qtga4.dll (28.0 KB)
qtiff4.dll (363.5 KB)
libbz2-1.dll (74.8 KB)
libgcc_s_dw2-1.dll (114.5 KB)
libopencv_core310.dll (3.1 MB)
libopencv_highgui310.dll (148.0 KB)
libopencv_imgcodecs310【耗时整理‖免费分享 cunlove.cn】.dll (3.0 MB)
libopencv_imgproc310【耗时整理‖免费分享 cunlove.cn】.dll (3.5 MB)
libopencv_videoio310.dll (425.4 KB)
libstdc++-6.dll (948.0 KB)
libwinpthread-1.dll (47.5 KB)
logger.dll (15.5 KB)
Mp4Fix.exe (263.7 KB)
msvcp140.dll (443.3 KB)
Network【耗时整理‖免费分享 cunlove.cn】.dll (1.1 MB)
normal
EVCmd.dll (434.0 KB)
Login.dll (87.0 KB)
Skin.dll (193.5 KB)
plugin
CpCamera【耗时整理‖免费分享 cunlove.cn】.dll (222.5 KB)
CpScreen【耗时整理‖免费分享 cunlove.cn】.dll (62.5 KB)
ImageMark.dll (90.0 KB)
LocalLive
LocalLive.dll (215.0 KB)
Nginx_EV
conf
fastcgi_params (1007.0 B)
fastcgi【耗时整理‖免费分享 cunlove.cn】.conf (1.1 KB)
koi-utf (2.8 KB)
koi-win (2.2 KB)
mime【耗时整理‖免费分享 cunlove.cn】.types (3.9 KB)
nginx-m2.conf (776.0 B)
nginx.conf (3.2 KB)
scgi_params (636.0 B)
uwsgi_params (664.0 B)
win-utf【耗时整理‖免费分享 cunlove.cn】 (3.5 KB)
html
bd
index【耗时整理‖免费分享 cunlove.cn】.html (1.0 KB)
player
cyberplayer.flash.swf (360.7 KB)
cyberplayer.js (277.7 KB)
videojs
video.min.js (123.3 KB)
videojs-contrib-hls.min.js (264.8 KB)
videojs-contrib-quality-levels.min.js (4.6 KB)
crossdomain.xml (79.0 B)
css
bootstrap.min.css (103.5 KB)
public.css (4.4 KB)
img
app_down.png (2.7 KB)
favicon.ico (4.2 KB)
footer-weibo.jpg (6.6 KB)
footer-weixin.jpg (6.7 KB)
logo.png (4.8 KB)
index.html (7.8 KB)
js
bootstrap.min【耗时整理‖免费分享 cunlove.cn】.js (28.0 KB)
data【耗时整理‖免费分享 cunlove.cn】.js (67.0 B)
jquery-1.10.2.min.js (90.9 KB)
public.js (1.1 KB)
qrcode.js (38.4 KB)
mobile.html (393.0 B)
ParsedQueryString.js (3.0 KB)
stat.xsl (11.1 KB)
logs
access.log
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error.log
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nginx-ev-stop.bat (20.0 B)
nginx-ev【耗时整理‖免费分享 cunlove.cn】.exe (2.5 MB)
readme.txt (538.0 B)
scgi_temp
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temp
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fastcgi_temp
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hls
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proxy_temp
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readme.txt (40.0 B)
uwsgi_temp
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TextMark.dll (102.5 KB)
postproc-53.dll (128.5 KB)
QRViewer.dll (115.5 KB)
QtCore4【耗时整理‖免费分享 cunlove.cn】.dll (2.8 MB)
QtGui4.dll (9.6 MB)
QtMultimedia4.dll (136.0 KB)
QtNetwork4【耗时整理‖免费分享 cunlove.cn】.dll (1.3 MB)
QtXml4【耗时整理‖免费分享 cunlove.cn】.dll (352.0 KB)
swresample-1【耗时整理‖免费分享 cunlove.cn】.dll (275.5 KB)
swscale-3.dll (476.0 KB)
Tools.exe (35.2 KB)
ui
EVView【耗时整理‖免费分享 cunlove.cn】.dll (132.0 KB)
MainWindow.dll (1.1 MB)
NetWork.dll (85.5 KB)
VCInfoEx.dll (531.5 KB)
vcruntime140.dll (81.3 KB)
wasapi_plugin_console.exe (48.7 KB)
WhiteBoard.exe (250.7 KB)
WmDll.dll (14.5 KB)
data
audio
music
ambient_city.mp3 (955.1 KB)
ambient_construction.mp3 (882.2 KB)
ambient_green_jungleish.mp3 (1.6 MB)
ambient_red_savannah.mp3 (758.6 KB)
ambient_white_dryforest.mp3 (652.0 KB)
birds_boss.mp3 (146.9 KB)
birds_intro.mp3 (357.5 KB)
birds_outro【耗时整理‖免费分享 cunlove.cn】.mp3 (292.0 KB)
funky_theme.mp3 (1.7 MB)
game_complete.mp3 (283.4 KB)
level_complete.mp3 (69.1 KB)
title_theme【耗时整理‖免费分享 cunlove.cn】.mp3 (1.6 MB)
sfx
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balloon_pop【耗时整理‖免费分享 cunlove.cn】.wav (21.9 KB)
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bird shot-a2.wav (62.9 KB)
bird shot-a3.wav (42.5 KB)
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EVCapture.exe (91.9 KB)
logo【耗时整理‖免费分享 cunlove.cn】.ico (16.6 KB)
ReadMe.txt (5.1 KB)
Uninstaller
unins000.dat (49.3 KB)
unins000.exe (1.1 MB)
FastStone Capture7.5【耗时整理‖免费分享 cunlove.cn】.zip (3.6 MB)
FSCapture_7.7.rar (2.5 MB)
mac录屏软件obs.txt
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OBS-Studio-29.1.3-Full-Installer-x64【耗时整理‖免费分享 cunlove.cn】.exe (127.9 MB)
OBS官网.txt (23.0 B)
win下录屏软FsCapture.txt
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上课笔记
0.1day01笔记.pdf (5.9 MB)
0.2day02笔记.pdf (2.2 MB)
0.3day03笔记.pdf (773.3 KB)
0.4day04笔记.pdf (866.3 KB)
0.5day05笔记【耗时整理‖免费分享 cunlove.cn】.pdf (846.0 KB)
0.6day06笔记.pdf (1.1 MB)
0.7day07笔记.pdf (1.5 MB)
0.8day08笔记.pdf (789.9 KB)
1.1Python面向对象基础.pdf (11.7 MB)
1.2Python面向对象高级.pdf (2.8 MB)
1.3学员管理系统(面向对象).pdf (1.1 MB)
1.4闭包和装饰器.pdf (3.7 MB)
1.5网络编程-课堂笔记.pdf (10.8 MB)
1.6多任务编程-课堂笔记.pdf (4.3 MB)
1.7Python高级语法与正则表达式.pdf (2.3 MB)
1.8数据结构与算法.pdf (3.8 MB)
1.9排序-笔记.pdf (3.8 MB)
1.10二叉树-笔记.pdf (9.7 MB)
2.1笔记.pdf (824.8 KB)
2.2笔记.pdf (901.2 KB)
2.3笔记.pdf (677.8 KB)
2.4笔记.pdf (947.1 KB)
2.5笔记【耗时整理‖免费分享 cunlove.cn】.pdf (477.0 KB)
2.6笔记.pdf (672.3 KB)
2.7笔记.pdf (890.8 KB)
2.8笔记.pdf (930.5 KB)
2.9笔记.pdf (1.3 MB)
2.10笔记【耗时整理‖免费分享 cunlove.cn】.pdf (390.5 KB)
3.1机器学习概述.pdf (13.4 MB)
3.2KNN算法.pdf (5.1 MB)
3.3逻辑回归.pdf (1.7 MB)
3.4集成学习.pdf (7.6 MB)
3.5决策树.pdf (5.4 MB)
3.6朴素贝叶斯.pdf (712.4 KB)
3.7特征降维.pdf (1.6 MB)
3.8聚类.pdf (4.1 MB)
3.9支持向量机.pdf (4.1 MB)
机器学习阶段复习.pdf (81.4 KB)
课前说明.pdf (75.8 KB)
赠送：AI关系抽取项目
day01
01-关系抽取项目简介_.mp4 (30.4 MB)
02-关系抽取项目背景介绍_.mp4 (24.8 MB)
03-关系抽取其业务他应用场景_.mp4 (13.2 MB)
04-关系抽取任务的特点_.mp4 (15.9 MB)
05-关系抽取任务的指标和问题_【耗时整理‖免费分享 cunlove.cn】.mp4 (27.5 MB)
06–关系抽取第一小结_【耗时整理‖免费分享 cunlove.cn】.mp4 (14.9 MB)
07–规则进行关系抽取任务介绍_.mp4 (25.5 MB)
08-规则实现关系抽取代码分析_.mp4 (24.9 MB)
09-规则实现关系抽取总结mp4_.mp4 (9.2 MB)
10-Pipeline方式原理介绍_【耗时整理‖免费分享 cunlove.cn】.mp4 (30.8 MB)
11-BiLSTM+Attention模型架构分析_.mp4 (7.2 MB)
12–BiLSTM+Attention模型配置文件_.mp4 (39.1 MB)
13-BILSTM+Attention数据预处理函数配置_【耗时整理‖免费分享 cunlove.cn】.mp4 (16.9 MB)
14–数据预处理函数sent_padding实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (53.7 MB)
day02
01-昨日视频回顾_.mp4 (44.2 MB)
02-数据预处理Pos函数讲解_.mp4 (6.2 MB)
03-数据预处理pos函数和pos_padding函数的实现_.mp4 (19.7 MB)
04-数据预处理函数get_txt_data讲解_【耗时整理‖免费分享 cunlove.cn】.mp4 (23.4 MB)
05-get_txt_data函数代码实现_.mp4 (28.4 MB)
06–get_word_id函数实现_.mp4 (31.4 MB)
07–DataSet类的实现_.mp4 (15.2 MB)
08–自定义函数collate_fn函数的实现_.mp4 (43.2 MB)
09–Dataset类和Dataloader类实现_.mp4 (22.7 MB)
10–BiLSTM+Attention模型类init方法讲解_.mp4 (17.8 MB)
11-init方法代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (40.8 MB)
12–初始化参数方法和attention方法实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (18.6 MB)
13–forward函数代码分析_.mp4 (38.7 MB)
14–foward函数代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (27.2 MB)
15–模型数据形状结果分析_.mp4 (27.5 MB)
16–模型训练_【耗时整理‖免费分享 cunlove.cn】.mp4 (50.4 MB)
17–预测代码分析_.mp4 (13.8 MB)
18–模型预测代码的实现_.mp4 (46.0 MB)
19–今日内容总结_.mp4 (19.4 MB)
day03
01-知识回顾_.mp4 (19.9 MB)
02-Joint方法原理介绍_.mp4 (23.5 MB)
03-Joint方法优缺点_.mp4 (3.1 MB)
04-Casrel模型架构讲解_【耗时整理‖免费分享 cunlove.cn】.mp4 (32.8 MB)
05-Casrel模型架构_.mp4 (8.5 MB)
06-Casrel数据集介绍_.mp4 (22.2 MB)
07-Config类代码的实现_.mp4 (39.0 MB)
08-第一个数据处理函数find_head_index实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (15.9 MB)
09-数据预处理函数creat_label思想_.mp4 (188.2 MB)
10-create_label代码思想_.mp4 (45.0 MB)
11-create_label代码实现_.mp4 (81.7 MB)
12-collate_fn自定义函数代码分析_【耗时整理‖免费分享 cunlove.cn】.mp4 (26.8 MB)
13–collate_fn自定义函数实现_.mp4 (34.8 MB)
14-Dataset类代码实现_.mp4 (21.4 MB)
15-Dataloader类代码分析和实现_.mp4 (27.5 MB)
day04
01-内容回顾_.mp4 (26.6 MB)
02-Casrel模型init函数实现_.mp4 (27.6 MB)
03-Casrel模型get_encode_result和get_subs代码实现_.mp4 (83.9 MB)
04-Casrel模型客实体识别代码_【耗时整理‖免费分享 cunlove.cn】.mp4 (74.5 MB)
05-Casrel模型forward函数实现_.mp4 (19.6 MB)
06-Casrel模型代码搭建实现_.mp4 (37.0 MB)
07-load_model函数代码实现_.mp4 (73.0 MB)
08-extract_sub函数代码分析_.mp4 (120.6 MB)
09-extract_sub代码实现_【耗时整理‖免费分享 cunlove.cn】.mp4 (10.0 MB)
10-extract_obj_and_relation函数的分析_.mp4 (16.1 MB)
11-extract_obj_and_rel函数的实现_.mp4 (12.8 MB)
12-train_eopch和modle2dev函数讲解_.mp4 (124.3 MB)
13–train函数讲解_.mp4 (19.7 MB)
14-train函数代码的实现_.mp4 (60.7 MB)
15-test函数代码实现_.mp4 (98.8 MB)
day05
01-知识回顾_.mp4 (27.8 MB)
02-API接口的制作_.mp4 (32.3 MB)
03-API接口的测试_.mp4 (36.1 MB)
04-Neo4j图数据库安装介绍_.mp4 (25.2 MB)
05-Neo4j图数据库创建节点_.mp4 (45.3 MB)
06-Neo4j图数据库创建关系_.mp4 (12.5 MB)
07-Neo4j图数据库查询节点_.mp4 (41.8 MB)
08-关系查询_.mp4 (65.1 MB)
09-节点和关系的删除_.mp4 (127.4 MB)
10-py2neo操作neo4j结尾_.mp4 (19.9 MB)
11-Neo4j图数据库准备数据_.mp4 (82.5 MB)
12-Neo4j创建节点函数_.mp4 (27.4 MB)
13-将所有预测的SPO三元组数据导入Neo4j_.mp4 (38.0 MB)

]

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