mirror of https://github.com/wassname/ray.git synced 2026-06-27 21:53:18 +08:00

T

Alexey Tumanov 4f9e74469e Fix segfault induced by getting more than 200k objects (#333 )

* [RAY-567]: allocate memory on the heap for large gets

* linting

2017-03-02 01:35:10 -08:00

.travis

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

cmake/Modules

help cmake find right python interpreter on mac (#251 )

2016-07-11 12:16:10 -07:00

doc

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

docker

Docker Updates (#308 )

2017-02-28 18:57:51 -08:00

examples

Move documentation to ReadTheDocs. (#326 )

2017-02-27 21:14:31 -08:00

python

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

scripts

Rename photon -> local scheduler. (#322 )

2017-02-27 12:24:07 -08:00

src

Fix segfault induced by getting more than 200k objects (#333 )

2017-03-02 01:35:10 -08:00

test

Fix test failures in actor_test.py. (#317 )

2017-03-01 23:26:39 -08:00

vsprojects

Windows compatibility (#57 )

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

webui

Rename photon -> local scheduler. (#322 )

2017-02-27 12:24:07 -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

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

.travis.yml

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

build-docker.sh

Docker Updates (#308 )

2017-02-28 18:57:51 -08:00

build.sh

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

CMakeLists.txt

Rename photon -> local scheduler. (#322 )

2017-02-27 12:24:07 -08:00

LICENSE

Change license to Apache 2 (#20 )

2016-11-01 23:19:06 -07:00

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.md

Move documentation to ReadTheDocs. (#326 )

2017-02-27 21:14:31 -08:00

README.md

Ray

Ray is an experimental distributed execution engine. It is under development and not ready to be used.

The goal of Ray is to make it easy to write machine learning applications that run on a cluster while providing the development and debugging experience of working on a single machine.

View the documentation.

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.

Readme Multiple Licenses 111 MiB

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