10 Weeks, 20 Lessons, Data Science for All!

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

《统计学习方法》的代码实现

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

The "Python Machine Learning (1st edition)" book code repository and info resource

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

fast.ai Courses

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/