forked from Jack-Cherish/PythonPark
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.md
141 lines (130 loc) · 12.8 KB
/
README.md
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
这里是学习 Python 的乐园,**保姆级教程**:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、Python基础、网络爬虫、大厂面经、程序人生、资源分享。**我会逐渐完善它,持续输出中!**
原创文章每周最少两篇,**后续最新文章**会在[【公众号】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)首发,视频[【B站】](https://space.bilibili.com/331507846)首发,大家可以加我[【微信】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)进**交流群**,技术交流或提意见都可以,欢迎**Star**!
[【思维导图】](#思维导图)见文末~
<p align="center">
<a href="https://github.com/Jack-Cherish/PythonPark" target="_blank">
<!--<img src="http://photos.cuijiahua.com/github/logo.png" width="200" height="200"/>-->
<!--<img src="https://ftp.bmp.ovh/imgs/2021/01/cb3d04cb065fcdad.png" width="200" height="200"/>-->
<img src="https://raw.githubusercontent.com/Jack-Cherish/PythonPark/master/images/logo.png" width="200" height="200"/>
</a>
</p>
<p align="center">
<a href="https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg" target="_blank"><img src="https://img.shields.io/badge/weChat-微信群-blue.svg" alt="微信群"></a>
<a href="https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg" target="_blank"><img src="https://img.shields.io/badge/%E5%85%AC%E4%BC%97%E5%8F%B7-Jack%20Cui-lightgrey.svg" alt="公众号"></a>
<a href="https://space.bilibili.com/331507846"><img src="https://img.shields.io/badge/bilibili-哔哩哔哩-critical" alt="B站"></a>
<a href="https://www.zhihu.com/people/Jack--Cui" target="_blank"><img src="https://img.shields.io/badge/zhihu-知乎-informational" alt="知乎"></a>
<a href="https://blog.csdn.net/c406495762" target="_blank"><img src="https://img.shields.io/badge/csdn-CSDN-red.svg" alt="CSDN"></a>
<a href="https://www.toutiao.com/c/user/token/MS4wLjABAAAA5gJtmezUJ6vli2hZvnN13iLnzKLpuF8gGHeS0iVlmNs/" target="_blank"><img src="https://img.shields.io/badge/toutiao-%E5%A4%B4%E6%9D%A1-important.svg" alt="头条"></a>
<a href="https://juejin.im/user/5ea2ca74e51d4546b50d5f9f" target="_blank"><img src="https://img.shields.io/badge/juejin-掘金-blue.svg" alt="掘金"></a>
</p>
# 目录(善用Ctrl+F)
注::star:为**高人气必看经典**,:rocket:为**最新更新**。
* 学习路线
* :star:[我是如何成为算法工程师的,超详细的学习路线](https://mp.weixin.qq.com/s/xUaFSdIMRI11agwwUUK2oA)
* :star:[B站优质视频资源推荐,起飞!](https://mp.weixin.qq.com/s/iL9XzJWsCt0s2VEiya_ycA)
* [别再折腾开发环境了,一劳永逸的搭建方法](https://mp.weixin.qq.com/s/ghKGVutz9RQ4fMGJDHWtww)
* [助你编程能力「突飞猛进」的干货分享](https://mp.weixin.qq.com/s/viVP4oNLgDLLUz3sT3Djew)
* 视频
* [程序员必备的8个学习网站,再也不用交智商税了](https://www.bilibili.com/video/BV1oC4y147S2)
* [计算机应届毕业生薪资有多高?算法工程师面试贴心指南](https://www.bilibili.com/video/BV1DZ4y1T7oq)
* [AI人工智能技术还原康乾盛世三代皇帝样貌,竟然有点帅!](https://www.bilibili.com/video/BV1pV411S7ke)
* [AI复活明朝历代皇帝,来一场穿越时空的对话!](https://www.bilibili.com/video/BV1B54y1R7nD)
* :star:[AI还原乾隆后妃样貌,延禧攻略众生相。](https://www.bilibili.com/video/BV1h54y1z7Ds)
* :star:[6分钟带你回顾2020年高能的AI算法](https://www.bilibili.com/video/BV1kf4y1C7LR)
* :rocket:[保姆级人工智能学习路线,谁都能玩的AI算法!](https://www.bilibili.com/video/BV1Ry4y1h7Kd)
* 数据结构与算法基础
* [程序员内功:八大排序算法](https://cuijiahua.com/blog/2018/01/alogrithm_9.html)
* [算法基础:BFS和DFS的直观解释](https://cuijiahua.com/blog/2018/01/alogrithm_10.html)
* [剑指Offer系列刷题笔记汇总](https://cuijiahua.com/blog/2018/02/basis_67.html)
* 算法面经
* [秋招在即,你准备好了吗?](https://mp.weixin.qq.com/s/tSnqXI2h_R5Ag34T0h-zZg)
* [春招视觉算法实习面经](https://cuijiahua.com/blog/2019/11/life-52.html)
* [成功上岸阿里,深度学习知识考点总结](https://mp.weixin.qq.com/s/5LbcPsffKr_1qCEWlTrgRQ)
* AI 基础
* [保姆级GPU白嫖攻略](https://mp.weixin.qq.com/s/zYU3RY6dgH4pCWyW-WCRwQ)
* [「修炼开始」一文带你入门深度学习](https://mp.weixin.qq.com/s/ABvmPbFU9XfkOWj42Tv9jQ)
* [保姆级教程:硬核图解Transformer](https://mp.weixin.qq.com/s/jx-2Ai2YKbwODW6uJaF3hQ)
* AI 实验室
* [百变人脸,趣味容颜,ALAE 人脸玩出新高度!](https://mp.weixin.qq.com/s/9C8OY7bchZNfqUCFSFuhjQ)
* :star:[你的红色高跟鞋,AI 换脸技术初体验](https://mp.weixin.qq.com/s/5kIN2Da-Bw-furkG-_N9nA)
* :star:[心中无码便是高清,马赛克“脑补”算法 PULSE](https://mp.weixin.qq.com/s/T5LHHHgxwwZLn7RI3u3T3Q)
* [秃头生成器,Hairstyle Transfer 你值得拥有!](https://mp.weixin.qq.com/s/3rmChrBmXGLiPvp14Vo-Fg)
* [太强了!基于深度学习的文本自动解密算法。](https://mp.weixin.qq.com/s/weQ4cjblwQF9JDZ9vbzYMg)
* [AI算法让图片动起来,特朗普和蒙娜丽莎深情合唱《Unravel》](https://mp.weixin.qq.com/s/CyWyrVvWs3-iFKOUdDg0pQ)
* [这些 AI 算法太强了,我有个大胆的想法!](https://mp.weixin.qq.com/s/6AP_Dl4T75lkviPAOJyHDA)
* :star:[百年老照片修复算法,那些高颜值的父母!](https://mp.weixin.qq.com/s/hsMppcLioJbXSZ2ZL8bnug)
* [无限想象空间,用Python就能玩的3D人体姿态估计](https://mp.weixin.qq.com/s/efqdGCLni1P1UBDZmXDvSA)
* [AI 隐身术,能让物体在视频中消失的魔法。](https://mp.weixin.qq.com/s/2ce_joHpAannpwfP8l-YkA)
* [偷天换日,逼真的天空置换算法](https://mp.weixin.qq.com/s/bUVvafODJfqDHXWXhDxVhA)
* [手残党抠图有救了!](https://mp.weixin.qq.com/s/UFdj4Utyoa6rySYy1qVl8Q)
* :star:[为艺术而生的惊艳算法](https://mp.weixin.qq.com/s/BnuNQYk4AXbyQpZFwu02qg)
* [「完美复刻」的人物肖像画生成](https://mp.weixin.qq.com/s/FoFgkCxMhwxjGieCe8Rg2A)
* [带你「周游世界」的 MODNet 算法](https://mp.weixin.qq.com/s/kkM75PH-0Dtw4xCdgmTQdg)
* [川普的退休生活,AI 宅舞很专业。](https://mp.weixin.qq.com/s/p5dPfSOOVWsEor6X-hBSkA)
* :star:[用自己训练的AI玩王者荣耀是什么体验?](https://mp.weixin.qq.com/s/mj8PG-wRqSbEIR38fongHA)
* [人脸编辑再得一分,牛逼!](https://mp.weixin.qq.com/s/KA7ZsxDSHGoItTdFcdx87Q)
* [二次元的正确打开方式](https://mp.weixin.qq.com/s/dsI4wyRddYzmZoZrg1oV6w)
* :rocket:[用AI玩55款经典游戏是什么体验?](https://mp.weixin.qq.com/s/Hu2WYXQqMg1BGDUmm2PvIw)
* 囧事人生
* [打工人的薪资倒挂](https://mp.weixin.qq.com/s/qLx8nevYEJnEwnJQq44zYA)
* [个人网站没落了?](https://mp.weixin.qq.com/s/sum2v1iTokWPaxiNEZCtxg)
* [感谢有你,写作以来的得与失](https://mp.weixin.qq.com/s/qbp7UD3X_7e7godHBAavzg)
* [2020年的最后一个月](https://mp.weixin.qq.com/s/_UHkY81-e4fG2TANhvYVag)
* [第一次进抢救室](https://mp.weixin.qq.com/s/HAfUd704CrAPt8FR9r2IYg)
* [我在哥大读博的五年,万字总结](https://mp.weixin.qq.com/s/t1TGRRDgicEnBHxXE359fQ)
* :star:[我,这一年](https://mp.weixin.qq.com/s/GXLFOutCYRmOUHr8OA1J4A)
* [晒晒年终奖](https://mp.weixin.qq.com/s/s8Yckc6NeEqxq_rIIWnttw)
* Pytorch深度学习实战
* :star:[Pytorch深度学习实战教程(一):语义分割基础与环境搭建](https://mp.weixin.qq.com/s/KI-9z7FBjfoWfZK3PEPXJA)
* [Pytorch深度学习实战教程(二):UNet语义分割网络](https://mp.weixin.qq.com/s/6tZVUbyEjLVewM8vGK9Zhw)
* [Pytorch深度学习实战教程(三):UNet模型训练](https://mp.weixin.qq.com/s/7FY77k3xtK-UyfoXpFXgBQ)
* [Pytorch深度学习实战教程(四):必知必会的炼丹法宝](https://mp.weixin.qq.com/s/RhvCeesbzAQmK0yv8D6LjQ)
* [Pytorch深度学习实战教程(五):今天,你垃圾分类了吗?](https://mp.weixin.qq.com/s/Yt2M-cjLdRgOowNNm2Ll8Q)
* [Pytorch 深度学习实战教程(六):仝卓自爆,快本打码。](https://mp.weixin.qq.com/s/za4DsGMcLZYCbTir9QFPKQ)
* 网络爬虫
* :star:[Python3 网络爬虫(一):初识网络爬虫之夜探老王家](https://mp.weixin.qq.com/s/1rcq9RQYuAuHFg1w1j8HXg)
* [Python3 网络爬虫(二):下载小说的正确姿势](https://mp.weixin.qq.com/s/5e2_r0QXUISVp9GdDsqbzg)
* [Python3 网络爬虫(三):漫画下载,动态加载、反爬虫这都不叫事!](https://mp.weixin.qq.com/s/wyS-OP04K3Vs9arSelRlyA)
* [Python3 网络爬虫(四):视频下载,那些事儿!](https://mp.weixin.qq.com/s/_geNA6Dwo4kx25X7trJzlg)
* [Python3 网络爬虫(五):老板,需要特殊服务吗?](https://mp.weixin.qq.com/s/PPTSnIHV71b-wB3oRiYnIA)
* [Python3 网络爬虫(六):618,爱他/她,就清空他/她的购物车!](https://mp.weixin.qq.com/s/lXXDfzyLVrf3f-aqJN1C3A)
* [宝藏B站UP主,视频弹幕尽收囊中!](https://mp.weixin.qq.com/s/aWratg1j9RBAjIghoY66yQ)
* Tensorflow深度学习实战
* [Tensorflow实战(一):打响深度学习的第一枪 – 手写数字识别(Tensorboard可视化)](https://cuijiahua.com/blog/2018/01/dl_4.html)
* [Tensorflow实战(二):Discuz验证码识别](https://cuijiahua.com/blog/2018/01/dl_5.html)
* 机器学习实战
* :star:[机器学习实战教程(一):K-近邻算法(史诗级干货长文)](https://cuijiahua.com/blog/2017/11/ml_1_knn.html)
* [机器学习实战教程(二):决策树基础篇之让我们从相亲说起](https://cuijiahua.com/blog/2017/11/ml_2_decision_tree_1.html)
* [机器学习实战教程(三):决策树实战篇之为自己配个隐形眼镜](https://cuijiahua.com/blog/2017/11/ml_3_decision_tree_2.html)
* [机器学习实战教程(四):朴素贝叶斯基础篇之言论过滤器](https://cuijiahua.com/blog/2017/11/ml_4_bayes_1.html)
* [机器学习实战教程(五):朴素贝叶斯实战篇之新浪新闻分类](https://cuijiahua.com/blog/2017/11/ml_5_bayes_2.html)
* [机器学习实战教程(六):Logistic回归基础篇之梯度上升算法](https://cuijiahua.com/blog/2017/11/ml_6_logistic_1.html)
* [机器学习实战教程(七):Logistic回归实战篇之预测病马死亡率](https://cuijiahua.com/blog/2017/11/ml_7_logistic_2.html)
* :star:[机器学习实战教程(八):支持向量机原理篇之手撕线性SVM](https://cuijiahua.com/blog/2017/11/ml_8_svm_1.html)
* [机器学习实战教程(九):支持向量机实战篇之再撕非线性SVM](https://cuijiahua.com/blog/2017/11/ml_9_svm_2.html)
* [机器学习实战教程(十):提升分类器性能利器-AdaBoost](https://cuijiahua.com/blog/2017/11/ml_10_adaboost.html)
* [机器学习实战教程(十一):线性回归基础篇之预测鲍鱼年龄](https://cuijiahua.com/blog/2017/11/ml_11_regression_1.html)
* [机器学习实战教程(十二):线性回归提高篇之乐高玩具套件二手价预测](https://cuijiahua.com/blog/2017/12/ml_12_regression_2.html)
* [机器学习实战教程(十三):树回归基础篇之CART算法与树剪枝](https://cuijiahua.com/blog/2017/12/ml_13_regtree_1.html)
* 深度学习实战
* [深度学习实战教程(一):感知器](https://cuijiahua.com/blog/2018/10/dl-7.html)
* [深度学习实战教程(二):线性单元和梯度下降](https://cuijiahua.com/blog/2018/11/dl-8.html)
* [深度学习实战教程(三):神经网络和反向传播算法](https://cuijiahua.com/blog/2018/11/dl-9.html)
* [深度学习实战教程(四):卷积神经网络](https://cuijiahua.com/blog/2018/12/dl-10.html)
* [深度学习实战教程(五):循环神经网络](https://cuijiahua.com/blog/2018/12/dl-11.html)
* [深度学习实战教程(六):长短时记忆网络(LSTM)](https://cuijiahua.com/blog/2019/01/dl-12.html)
* [深度学习实战教程(七):递归神经网络](https://cuijiahua.com/blog/2019/02/dl-13.html)
* 工具
* [保姆级Git入门教程,万字详解](https://mp.weixin.qq.com/s/2eA7VfHDd0MRGz_YgVrbiw)
* 其他
* [代码已开源,一起魔改大西瓜!](https://mp.weixin.qq.com/s/6MzJkehRr4BKVKSnsqpMxA)
* 学习资料
* :star:[电子书&视频](https://github.com/Jack-Cherish/awesome-cs-books)
* [16张让你编程能力突飞猛进的代码速查表](https://mp.weixin.qq.com/s/Lz0JbKTiiRlBtiMBZ-7cnA)
更多内容,敬请期待!
<a name="思维导图"></a>
<!--![image](http://photos.cuijiahua.com/github/dt.jpg)-->
<!--![image](https://ftp.bmp.ovh/imgs/2021/01/1d5ded7f914607ec.jpg)-->
![image](https://raw.githubusercontent.com/Jack-Cherish/PythonPark/master/images/dt.jpg)
<a name="微信"></a> <a name="公众号"></a>
<img src="https://ftp.bmp.ovh/imgs/2020/07/112254f0199e3d4f.jpg" alt="wechat" width="400" height="200" align="bottom" />