Keeping track of RL experiments

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

📖《Python Parallel Programming Cookbook》中文版

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

CodaLab L2RPN: Learning to Run a Power Network

PyTorch implementation of AlphaZero Connect from scratch (with results)

A fast and simple framework for building and running distributed applications.

Reinforcement learning environments with musculoskeletal models

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

KaTCH -- Karlsruhe Time-Dependent Contraction Hierarchies

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

PARL PaddlePaddle Reinforcement Learning Framework

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

A tool to query a database in natural language

Open Source Neural Machine Translation in PyTorch

A Toolkit for Chinese Topic Modeling

系统分析大作业，六人组小组作业

500 Lines or Less

tinyhttpd 是一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。