Popular GitHub Repositories for Asynchronous

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

High throughput synchronous and asynchronous reinforcement learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Asynchronous Methods for Deep Reinforcement Learning

A3C LSTM Atari with Pytorch plus A3G design

People detection and optional tracking with Tensorflow backend.

A curated list of awesome Distributed Deep Learning resources.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Distributed and decentralized training framework for PyTorch over graph

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes

? Collect some Asynchronous Federated Learning papers.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。