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See what the GitHub community is most excited about this month.
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Your new Mentor for Data Science E-Learning.
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One has no future if one couldn't teach themself.
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100-Days-Of-ML-Code中文版
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
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tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
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Course Files for Complete Python 3 Bootcamp Course on Udemy
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📖 The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL. -
Learn OpenCV : C++ and Python Examples
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The fastai deep learning library, plus lessons and tutorials
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Python sample codes for robotics algorithms.
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Practice your pandas skills!
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Adaptive Experimentation Platform
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有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)
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Best Practices on Recommendation Systems
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A unified approach to explain the output of any machine learning model.
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The 3rd edition of course.fast.ai
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TensorFlow documentation
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Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]
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Datasets, Transforms and Models specific to Computer Vision
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Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）
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TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
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Notebooks for learning deep learning
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
