A system for parallel and distributed Python that unifies the ML ecosystem.
Project description
Ray is a flexible, high-performance distributed execution framework.
Ray is easy to install: pip install ray
Example Use
Basic Python |
Distributed with Ray |
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Ray comes with libraries that accelerate deep learning and reinforcement learning development:
Installation
Ray can be installed on Linux and Mac with pip install ray.
To build Ray from source or to install the nightly versions, see the installation documentation.
More Information
Getting Involved
Ask questions on our mailing list ray-dev@googlegroups.com.
Please report bugs by submitting a GitHub issue.
Submit contributions using pull requests.
Project details
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