机器学习资源汇总-陆续更新中

更多关注:

  • https://github.com/chanhal
  • https://www.zhihu.com/people/chanhal
  • chanhal@outlook.com

列表

  1. 数据科学: https://www.kaggle.com/kanncaa1/kernels
  2. CS229T/STATS231: Statistical Learning Theory: https://web.stanford.edu/class/cs229t/
  3. 推荐系统:https://mp.weixin.qq.com/s/3NStfKyn3rGmLUrgk4b9lQ
  4. 基于OpenCV与Dlib的行人计数开源实现:
    保存到我的百度云: https://pan.baidu.com/s/1fJxUrIU0Bgsm6VnYiTLL1g
  5. CS299, Syllabus and Course Schedule: http://cs229.stanford.edu/syllabus.html, 里面包含EM算法的教程
  6. 各种电子书: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课程资源: 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,信息指纹:可用于过滤出大概相似的
  12. Data competition Top Solution 数据竞赛Top解决方案开源整理: https://github.com/Smilexuhc/Data-Competition-TopSolution
  13. python-data-science-cheatsheet: https://github.com/jaystone776/python-data-science-cheatsheet
  14. kaggle入门竞赛的一个案例。kaggle入门竞赛之泰坦尼克事故存活预测(xgboost方法): https://www.missshi.cn/api/view/blog/5a06a441e519f50d0400035e
  15. 主成分分析(PCA)和白化(whitening)原理总结: http://pancakeawesome.ink/主成分分析(PCA)原理总结.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)的学习历程: https://blog.csdn.net/Jasminexjf/article/details/82621223
  19. http://tweetedtimes.com/v/1409
  20. ML面试大全: 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 很值得一读
    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

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