wassname/ray

mirror of https://github.com/wassname/ray.git synced 2026-07-10 09:08:25 +08:00

T

Robert Nishihara 613be0fabc updating readme (#99 )

2016-06-10 15:36:10 -07:00

add FindNumPy.cmake

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

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

build on mac os x (#96 )

2016-06-10 15:35:49 -07:00

.gitignore

Initial commit

2016-02-07 14:18:40 -08:00

.gitmodules

link libraries statically and make halo work on Mac OS X

2016-06-10 13:16:07 -07:00

.travis.yml

adding continuous integration

2016-06-05 20:46:54 -07:00

CMakeLists.txt

renaming project, halo -> ray (#95 )

2016-06-10 14:12:15 -07:00

LICENSE

switching to BSD (#90 )

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

README.md

updating readme (#99 )

2016-06-10 15:36:10 -07:00

requirements.txt

link libraries statically and make halo work on Mac OS X

2016-06-10 13:16:07 -07:00

setup.sh

build on mac os x (#96 )

2016-06-10 15:35:49 -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.

Design Decisions

For a description of our design decisions, see

Setup

sudo apt-get update
sudo apt-get install git
git clone https://github.com/amplab/ray.git
cd ray
./setup.sh

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

Languages

Python 56.6%

C++ 28.8%

Java 8.5%

TypeScript 1.7%

Starlark 1.4%

Other 2.8%