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Ray is a fast and simple framework for building and running distributed applications.

Ray is packaged with the following libraries for accelerating machine learning workloads:

  • Tune: Scalable Hyperparameter Tuning
  • RLlib: Scalable Reinforcement Learning
  • Distributed Training

To get started, visit the Ray Project web site, documentation, GitHub project, or Tutorials.