ray-project

ray Public
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Python 22,865 Apache-2.0 4,023 2,455 (82 issues need help) 231 Updated Nov 30, 2022
kuberay Public
A toolkit to run Ray applications on Kubernetes

Go 221 Apache-2.0 83 164 (10 issues need help) 9 Updated Nov 30, 2022
tune-sklearn Public
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Python 416 Apache-2.0 44 23 3 Updated Nov 29, 2022
ray-educational-materials Public
Ray educational materials

Jupyter Notebook 8 Apache-2.0 4 1 0 Updated Nov 29, 2022
xgboost_ray Public
Distributed XGBoost on Ray

Python 93 Apache-2.0 27 26 (1 issue needs help) 1 Updated Nov 28, 2022
enhancements Public
Tracking Ray Enhancement Proposals

12 Apache-2.0 9 0 4 Updated Nov 28, 2022
ray_lightning Public
Pytorch Lightning Distributed Accelerators using Ray

Python 163 Apache-2.0 30 47 9 Updated Nov 28, 2022
deltacat Public
A Pythonic Data Catalog powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

Python 45 Apache-2.0 5 2 2 Updated Nov 22, 2022
ray_beam_runner Public
Ray-based Apache Beam runner

Python 27 Apache-2.0 7 12 3 Updated Nov 18, 2022
kuberay-helm Public
Helm charts for the KubeRay project

Mustache 2 1 1 0 Updated Nov 14, 2022

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