深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Reinforcement Learning Algorithms

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Best Practices on Recommendation Systems

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Implementation and experiments of graph embedding algorithms.

A best practice for tensorflow project template architecture.

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

手写实现李航《统计学习方法》书中全部算法

tensorflow实战练习，包括强化学习、推荐系统、nlp等

key Deep Learning engineering tricks in recsys

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Graph Neural Network Library for PyTorch

DLFlow is a deep learning framework.

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。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

PyTorch implementations of deep reinforcement learning algorithms and environments

Virtual-Taobao simulators with OpenAI Gym interface

中文整理的强化学习资料（Reinforcement Learning）

Learning Resources And Links Of Reinforcement Learning （updating）