機器學習資源彙總-陸續更新中

更多關注：

• https://github.com/chanhal
• https://www.zhihu.com/people/chanhal
• [email protected]

列表

1. 數據科學: https://www.kaggle.com/kanncaa1/kernels
2. CS229T/STATS231: Statistical Learning Theory: https://web.stanford.edu/class/cs229t/
3. 推薦系統：https://mp.weixin.qq.com/s/3NStfKyn3rGmLUrgk4b9lQ
4. 基於OpenCV與Dlib的行人計數開源實現：
   保存到我的百度雲： https://pan.baidu.com/s/1fJxUrIU0Bgsm6VnYiTLL1g
5. CS299, Syllabus and Course Schedule: http://cs229.stanford.edu/syllabus.html, 裏面包含EM算法的教程
6. 各種電子書：http://blog.sina.com.cn/s/articlelist_3283485963_0_1.html
7. Feature matching: https://docs.opencv.org/trunk/dc/dc3/tutorial_py_matcher.html#gsc.tab=0
8. USTC課程資源: https://github.com/mbinary/USTC-CS-Courses-Resource
9. A Beginner’s Guide to Attention Mechanisms and Memory Networks: https://skymind.ai/wiki/attention-mechanism-memory-network
10. A library for efficient similarity search and clustering of dense vectors: facebookresearch/faiss
11. Simhash相似哈希算法，信息指紋：可用於過濾出大概相似的
12. Data competition Top Solution 數據競賽Top解決方案開源整理: https://github.com/Smilexuhc/Data-Competition-TopSolution
13. python-data-science-cheatsheet: https://github.com/jaystone776/python-data-science-cheatsheet
14. kaggle入門競賽的一個案例。kaggle入門競賽之泰坦尼克事故存活預測（xgboost方法）: https://www.missshi.cn/api/view/blog/5a06a441e519f50d0400035e
15. 主成分分析（PCA）和白化（whitening）原理總結: http://pancakeawesome.ink/主成分分析（PCA）原理總結.html
16. Exploring Neural Networks with Activation Atlases: https://distill.pub/2019/activation-atlas
17. The Ultimate Guide of Barcode detection: https://www.pyimagesearch.com/wp-content/uploads/2015/01/the-ultimate-barcode-detection-guide.pdf
18. GAN（Generative Adversarial Network）的學習歷程: https://blog.csdn.net/Jasminexjf/article/details/82621223
19. http://tweetedtimes.com/v/1409
20. ML面試大全: https://github.com/imhuay/Algorithm_Interview_Notes-Chinese
21. 牛人博客: https://medium.com/@jonathan_hui
22. GAN, WGAN:
    https://lilianweng.github.io/lil-log/2017/08/20/from-GAN-to-WGAN.html 很值得一讀
    https://medium.com/@jonathan_hui/gan-wasserstein-gan-wgan-gp-6a1a2aa1b490
23. stock prediction: https://github.com/lilianweng/stock-rnn
24. https://www.gwern.net/Danbooru2018, Danbooru2018: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset
25. https://www.datasetlist.com/, all kinds of datasets for machine learning
26. https://towardsdatascience.com/deeptraffic-dqn-tuning-for-traffic-navigation-75-01-mph-solution-23087e2411cf, DeepTraffic