mirror of https://github.com/wassname/ray.git synced 2026-06-27 20:22:39 +08:00

T

Robert Nishihara f1d4dda8cb Put all log files in redis and visualize them in UI. (#350 )

* Start process for monitoring log files and push changes to redis.

* Display log files in UI.

* Bug fix for recent tasks.

* Use flatbuffers to parse local scheduler heartbeats.

2017-03-16 15:27:00 -07:00

.travis

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

cmake/Modules

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

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

doc

Atari on pixels (#364 )

2017-03-14 13:31:29 -07:00

docker

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

examples

Atari on pixels (#364 )

2017-03-14 13:31:29 -07:00

python

Put all log files in redis and visualize them in UI. (#350 )

2017-03-16 15:27:00 -07:00

scripts

Put all log files in redis and visualize them in UI. (#350 )

2017-03-16 15:27:00 -07:00

src

Convert local scheduler messages to flatbuffers (#340 )

2017-03-15 16:27:52 -07:00

test

Convert local scheduler messages to flatbuffers (#340 )

2017-03-15 16:27:52 -07:00

vsprojects

Windows compatibility (#57 )

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

webui

Put all log files in redis and visualize them in UI. (#350 )

2017-03-16 15:27:00 -07:00

.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

Properly mock ray submodules when building documentation. (#337 )

2017-03-04 23:02:56 -08:00

build-docker.sh

Docker Updates (#308 )

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

build.sh

Convert task_spec to flatbuffers (#255 )

2017-03-05 02:05:02 -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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