wassname/ray

mirror of https://github.com/wassname/ray.git synced 2026-06-30 04:19:23 +08:00

T

Robert Nishihara d8a621e5cb add lbfgs walkthrough and small cleanups (#229 )

2016-07-08 12:32:48 -07:00

add FindNumPy.cmake

2016-03-10 14:46:26 -08:00

load imagenet

2016-06-10 17:25:55 -07:00

add lbfgs walkthrough and small cleanups (#229 )

2016-07-08 12:32:48 -07:00

add lbfgs walkthrough and small cleanups (#229 )

2016-07-08 12:32:48 -07:00

preparation to deallocate objects properly

2016-06-21 13:46:38 -07:00

remove recursive option from register_module (#232 )

2016-07-08 11:13:03 -07:00

int and long should be treated similarly (#220 )

2016-07-06 17:31:58 -07:00

only run cleanup if we've started ray in local mode and actually started the processes (#228 )

2016-07-08 00:14:26 -07:00

int and long should be treated similarly (#220 )

2016-07-06 17:31:58 -07:00

fix bug, empty function should return nothing (#225 )

2016-07-07 14:07:33 -07:00

Apply patches while considering index as well (#231 )

2016-07-08 09:24:25 -07:00

Update Visual Studio projects (#199 )

2016-07-02 21:07:12 -07:00

.editorconfig

Initial editor config (#175 )

2016-06-27 13:10:55 -07:00

.gitignore

Ignore protobuf generated files (#200 )

2016-07-02 21:07:28 -07:00

.gitmodules

integrate numbuf into tree and remove ftruncate to prepare windows port

2016-06-18 12:00:17 -07:00

.travis.yml

arrays -> array (#172 )

2016-06-27 11:35:31 -07:00

build.sh

Write computation graph to file

2016-06-27 12:20:30 -07:00

CMakeLists.txt

Write computation graph to file

2016-06-27 12:20:30 -07:00

LICENSE

switching to BSD (#90 )

2016-06-06 12:07:36 -07:00

Ray.sln

Visual Studio project file changes (#186 )

2016-06-29 22:52:53 -07:00

README.md

basic tutorials (#204 )

2016-07-06 13:51:32 -07:00

requirements.txt

Visualize computation graph

2016-07-01 12:13:23 -07:00

setup-env.sh

Split up and polish build scripts

2016-06-22 16:20:56 -07:00

setup.sh

Visualize computation graph

2016-07-01 12:13:23 -07:00

README.md

Ray

Ray is an experimental distributed execution framework with a Python-like programming model. It is under development and not ready for general use.

Read this introduction to Ray.

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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