Popular GitHub Repositories for Distributed

An Open Source Machine Learning Framework for Everyone

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A hyperparameter optimization framework

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Distributed ML Training and Fine-Tuning on Kubernetes

Official Implementation of 'Fast AutoAugment' in PyTorch.

Distributed Java game server, including cluster management server, gateway server, hall server, game logic server, background monitoring server and a running web version of fishing. State machine, behavior tree, A* pathfinding, navigation mesh and other AI tools

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Distribute and run AI workloads magically in Python, like PyTorch for ML infra.

Bagua Speeds up PyTorch

Framework and Library for Distributed Online Machine Learning

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

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Distributed Reinforcement Learning accelerated by Lightning Fabric

Brain Imaging Analysis Kit