ray-project/ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

PythonC++JavaTypeScriptStarlarkCythonOtherpythonjavadata-sciencemachine-learningreinforcement-learningdeep-learningdeploymenttensorflowoptimizationparallelpytorchdistributedmodel-selectionhyperparameter-optimizationrayautomlhyperparameter-searchservingrllibllm-serving
This is stars and forks stats for /ray-project/ray repository. As of 05 Mar, 2024 this repository has 28111 stars and 4835 forks.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute: Learn more about Ray AI Libraries: Data: Scalable Datasets for ML Train: Distributed Training Tune: Scalable Hyperparameter Tuning RLlib: Scalable Reinforcement Learning Serve: Scalable and Programmable Serving Or more about Ray Core and its key abstractions: Tasks: Stateless functions executed in the cluster. Actors: Stateful worker processes...
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