Military knowledge graph

Google Research

torch-optimizer -- collection of optimizers for Pytorch

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

Must-read papers on graph neural networks (GNN)

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Seq2Seq Speech Recognition with Transformer on Mandarin Chinese

Meandering In Networks of Entities to Reach Verisimilar Answers

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

100+ Chinese Word Vectors 上百种预训练中文词向量

AI比赛相关

Models and examples built with TensorFlow

A platform for Applied Reinforcement Learning (Applied RL)

Papers with code. Sorted by stars. Updated weekly.

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

This repository is an update to all previous repositories with an implementation of various Quaternion-valued Neural Networks in PyTorch

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

A collection of surprising Python snippets and lesser-known features.

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Structural Causal Bandit

Python Implementation of Reinforcement Learning: An Introduction