Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

• deep-learning
• pytorch
• gpu
• machine-learning

Making large AI models cheaper, faster and more accessible

• deep-learning
• hpc
• large-scale
• data-parallelism

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

• python
• deep-learning
• artificial-intelligence
• ai

TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)

• paddlepaddle
• deep-learning
• scalability
• machine-learning

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

• deep-learning
• onnx
• neural-networks
• machine-learning

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.

• gbdt
• gbm
• machine-learning
• data-mining

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

• llm
• lora
• sft
• multimodal

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

• ai
• artificial-intelligence
• deep-learning
• large-language-models

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

• nlp
• embedding
• bert
• ernie

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

• transformers
• vllm
• large-language-models
• raylib

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

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

• deep-learning
• machine-learning
• deep-neural-networks
• ml

A unified ecosystem and workspace for large-scale federated learning of Large Models & LLMS. Store compute as Wifi

• compute-orchestration
• distributed-systems
• edge-computing
• edge-intelligence

Flower: A Friendly Federated AI Framework

• flower
• federated-learning
• federated-learning-framework
• federated-analytics

A Flexible and Powerful Parameter Server for large-scale machine learning

• machine-learning
• parameter-server
• spark
• scala

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

• tensorflow
• deep-learning
• reinforcement-learning
• neural-networks

A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

• spark
• pyspark
• azure
• scala

Translatedcube studio is an open-source, cloud-native, one-stop machine learning / deep learning / large model AI platform. It covers the full mlops algorithm pipeline, a computing power rental platform, online notebook development, drag-and-drop task flow pipeline orchestration, multi-machine multi-GPU distributed training, hyperparameter search, inference services with VGPU virtualization, edge computing, a labeling platform with automated labeling, SFT fine-tuning / reward model / reinforcement learning training for large models such as deepseek, multi-machine large model inference with vllm/ollama/mindie, a private knowledge base, and an AI model marketplace. It supports domestic Chinese CPUs/GPUs/NPUs and the Ascend ecosystem, supports RDMA, and supports distributed frameworks such as pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano.

• kubernetes
• inference
• mlops
• workflow

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

• machine-learning
• pytorch
• reinforcement-learning

Massively Parallel Deep Reinforcement Learning. 🔥

• pytorch
• reinforcement-learning
• ppo
• sac

Open-source framework for the research and development of foundation models.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

• federated-learning
• deep-learning
• distributed-training
• edge-ai