LiYaangY

awesome-deep-rl

For deep RL and the future of AI.

Azure-SDR

SW SDR

bluefog

Distributed and decentralized training framework for PyTorch over graph

continual_learning_papers

Relevant papers in Continual Learning

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

DGN

DGN Code

DICG

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Efficient-Computing

Efficient-Computing

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

HDMI-PI

我设计的一个HDMI转MIPI模块，可以用于驱动各种手机屏幕当显示器用。

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

IMPALA-Distributed-Tensorflow

Learn-Data-Science-For-Free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

malib

A parallel framework for population-based multi-agent reinforcement learning.

MARLlib

The MARL extension for RLlib. A benchmark for research and industry.

mfrl

Mean Field Multi-Agent Reinforcement Learning

multi-task-learning

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

openai-cookbook

Examples and guides for using the OpenAI API

PandaLM

pp

Code for book Python Playground by Mahesh Venkitachalam (No Starch Press, USA)

pymarl

Python Multi-Agent Reinforcement Learning framework

remi

"Pop Music Transformer: Generating Music with Rhythm and Harmony", arXiv 2020

rl-reliability-metrics

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

scatter-phy

This repo contains the source code of the physical layer developed for the DARPA Spectrum Collaboration Challenge (SC2).

stackoverflow-top-cpp

stackoverflow 上对 C/C++ 问题的整理、总结和翻译。

StarCraft

Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

tianshou

An elegant PyTorch deep reinforcement learning library.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习