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.