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Python - 100天从新手到大师
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.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A course in reinforcement learning in the wild
Create delightful software with Jupyter Notebooks
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。