R
ray
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
★43.5kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging data-science and deep-learning, built with Python, open-source
Who made it?Maintained by ray-project team, 43.5K⭐ on GitHub, #34 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the ray-project team identified the need for better data-science solutions. ray was created to simplify deep-learning workflows.
What can it do?Key use cases: deployment, distributed, hyperparameter-optimization
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/ray-project/ray | 官网 https://ray.io
🔗 github.com/ray-project/ray | 官网 https://ray.io
Topics
data-sciencedeep-learningdeploymentdistributedhyperparameter-optimizationhyperparameter-searchlarge-language-modelsllmllm-inferencellm-servingmachine-learningoptimizationparallelpythonpytorchrayreinforcement-learningrllibservingtensorflow