Pinned repositories
Repositories
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ray
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.
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lightgbm_ray
LightGBM on Ray
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ray-project.github.io
The Ray project website
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ray_shuffling_data_loader
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.
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distml
Distributed ML Optimizer
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ray_lightning
Pytorch Lightning Distributed Accelerators using Ray
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tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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dind-buildkite-plugin
A Buildkite Plugin to enable Docker-in-Docker
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mlflow-ray-serve
MLFlow Deployment Plugin for Ray Serve
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rl-experiments
Keeping track of RL experiments
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pygloo
Pygloo provides Python bindings for Gloo.
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images
Host images
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RFC
Community Documents
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ray-contrib
Contributed modules to ray
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travis-tracker
Dashboard for Tracking Travis Python Test Result.
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maze-raylit
Hackathon 2020! Max Archit Zhe
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ray-legacy
An experimental distributed execution engine
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spark-ray-example
A simple demonstration of embedding Ray in a Spark UDF. For Spark + AI Summit 2020.
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common
Code that is shared between Ray projects
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arrow-build
Queue for building arrow
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rules_boost Archived
Forked from nelhage/rules_boostbazel build rules to use boost in bazel projects
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