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* Start up webui on ray.init * Removed .ipynb checkpoint folders. * Removed print statements in cleanup function. * Fixed * Removed extra file. * Cleaned up ui. * Don't start browser automatically in ray.init(), also copy the notebook every time so that changes don't persist. * Update setup.py and installation instructions to install jupyter. * Don't automatically install jupyter, don't start the UI if jupyter is not installed. * Improve error message when failing to start UI.
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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