wassname/ray: 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. - ray

mirror of https://github.com/wassname/ray.git synced 2026-06-28 04:23:03 +08:00

T

Peter Schafhalter 2c19ae97a3 Implemented db_client_cache as unordered_map (#921 )

* Implemented db_client_cache as unordered_map

* Fix for memory leak

* Fixed linting

2017-09-03 17:26:05 -07:00

.travis

In setup.py, move cython to setup_requires. (#878 )

2017-08-28 23:07:33 -07:00

cmake/Modules

Changes to build to fix creation of wheels. (#840 )

2017-08-21 17:49:35 -07:00

doc

doc: mention cython in installation note. (#896 )

2017-08-31 00:57:41 -07:00

docker

Be more precise which boost dependencies are needed. (#823 )

2017-08-07 20:02:48 -07:00

examples

Allow ResNet example to run on multiple machines. (#891 )

2017-08-29 21:37:53 -07:00

python

upd (#917 )

2017-09-02 23:55:10 -07:00

site

Add plasma in-memory object store blog post (#895 )

2017-08-30 23:40:46 -07:00

src

Implemented db_client_cache as unordered_map (#921 )

2017-09-03 17:26:05 -07:00

test

[rllib] Add downscale and frameskip options for Montezumas (#908 )

2017-09-02 17:20:56 -07:00

vsprojects

Windows compatibility (#57 )

2016-11-22 17:04:24 -08:00

.clang-format

Implement object table notification subscriptions and switch to using Redis modules for object table. (#134 )

2016-12-18 18:19:02 -08:00

.editorconfig

Update Windows support (#317 )

2016-07-28 13:11:13 -07:00

.gitignore

[rllib] Add downscale and frameskip options for Montezumas (#908 )

2017-09-02 17:20:56 -07:00

.travis.yml

Test building wheels in Travis. (#852 )

2017-08-21 23:48:20 -07:00

build-docker.sh

Fix build-docker.sh bug (#515 )

2017-05-06 18:57:08 -07:00

build.sh

Changes to build to fix creation of wheels. (#840 )

2017-08-21 17:49:35 -07:00

CMakeLists.txt

Fix installation instruction for ubuntu 14.04 (#805 )

2017-08-02 18:14:14 -07:00

LICENSE

[rllib] Basic port of baselines/deepq to rllib (#709 )

2017-07-07 18:37:00 +00:00

pylintrc

adding pylint (#233 )

2016-07-08 12:39:11 -07:00

Ray.sln

Windows compatibility (#57 )

2016-11-22 17:04:24 -08:00

README.rst

Add pip install instructions to README. (#869 )

2017-08-27 19:55:39 -07:00

README.rst

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

|

Ray is a flexible, high-performance distributed execution framework.

Installation
------------

- Ray can be installed on Linux and Mac with ``pip install ray``.
- To build Ray from source, see the instructions for `Ubuntu`_ and `Mac`_.

.. _`Ubuntu`: http://ray.readthedocs.io/en/latest/install-on-ubuntu.html
.. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html


More Information
----------------

- `Documentation`_
- `Blog`_
- `HotOS paper`_

.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
.. _`Blog`: https://ray-project.github.io/ray/
.. _`HotOS paper`: https://arxiv.org/abs/1703.03924

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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