Popular GitHub Repositories for Ray

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

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

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Learn how to design, develop, deploy and iterate on production-grade ML applications.

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

A toolkit to run Ray applications on Kubernetes

A comprehensive guide to building RAG-based LLM applications for production.

Differentiable rendering without approximation.

RayLLM - LLMs on Ray (Archived). Read README for more info.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

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

Library for streaming data and incremental learning algorithms.

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

Open source project for data preparation of LLM application builders

MedRAX: Medical Reasoning Agent for Chest X-ray