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ray-project

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https://ray.readthedocs.io/en/master/

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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 23.5k 4.1k
tutorial Public

Jupyter Notebook 752 219

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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 23,540 Apache-2.0 4,100 2,432 (82 issues need help) 201 Updated Jan 6, 2023
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 7 2 2 Updated Jan 6, 2023
buildkite-ci-pipelines Public

Shell 0 0 0 0 Updated Jan 6, 2023
kuberay Public
A toolkit to run Ray applications on Kubernetes

Go 240 Apache-2.0 94 152 (8 issues need help) 3 Updated Jan 6, 2023
ray_lightning Public
Pytorch Lightning Distributed Accelerators using Ray

Python 167 Apache-2.0 31 48 11 Updated Jan 6, 2023
ray_shuffling_data_loader Public archive
A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of machine learning models.

Python 16 Apache-2.0 5 5 (1 issue needs help) 3 Updated Jan 5, 2023
travis-tracker-v2 Public

Python 2 6 7 1 Updated Jan 5, 2023
xgboost_ray Public
Distributed XGBoost on Ray

Python 94 Apache-2.0 27 29 (1 issue needs help) 1 Updated Jan 4, 2023
ray-educational-materials Public
Ray educational materials

Jupyter Notebook 10 Apache-2.0 4 5 1 Updated Jan 4, 2023
enhancements Public
Tracking Ray Enhancement Proposals

14 Apache-2.0 11 0 6 Updated Dec 28, 2022

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machine-learning ray deep-learning ray-distributed rllib

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