我的强化学习笔记和学习材料:book: still updating ... ...
Animation engine for explanatory math videos
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
Python Data Science Handbook: full text in Jupyter Notebooks
A treasure chest for image classification powered by PaddlePaddle
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Materials for teaching R and tidyverse
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
An Introductory Tutorial of Deep Learning and PaddlePaddle
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
