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An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Home Page: https://ray.io

License: Apache License 2.0

Shell 0.65% C++ 24.35% Python 66.89% C 0.17% HTML 0.14% Jupyter Notebook 0.01% CSS 0.05% Java 4.28% Dockerfile 0.07% JavaScript 0.01% TypeScript 1.21% Makefile 0.01% Starlark 1.27% Smarty 0.01% Cython 0.92% PowerShell 0.01%

ray's Introduction

Hi there

LinkedIn ghpvc

Senior Machine Learning Engineer working on MLSys, inference serving runtime and architecture

ray's People

Contributors

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