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fb4525f83315c6d612e7a6f6f20692a646f3f6ed
* Convert more local scheduler data structures to C++ STL. * Convert vector pointer to vector. * Convert some of the UT_arrays to std::vector. * Simplify worker vectors. * Simplify remote_object and local_object containers. * Change some unnecessary checks to DCHECK.
Revert "Suppress warning in start_ray.sh about leaving child processes running when parent exits. (#429)" (#437)
Implement object table notification subscriptions and switch to using Redis modules for object table. (#134)
Ray
===
.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
:target: https://travis-ci.org/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
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Ray is a flexible, high-performance distributed execution framework.
View the `documentation`_.
.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html
Description
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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