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 2026-07-01 15:27:47 +08:00

T

Stephanie Wang 036b873bf2 Implement local scheduler task queues using C++ data structures (#392 )

* Switch to using C++ lists for task queues

* Init and free methods for TaskQueueEntry

* Switch from utarray to c++ vector for TaskQueueEntry

* Get rid of some pointers

* Back to O(1) deletion from waiting_task_queue

* Fix comments

* Cut code

* Non const iterators

* Fix Alexey's comments

2017-03-30 00:40:01 -07:00

.travis

Run flake8 in Travis and make code PEP8 compliant. (#387 )

2017-03-21 12:57:54 -07:00

cmake/Modules

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

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

doc

Add overview of internals to documentation, improve serialization doc… (#390 )

2017-03-27 21:52:17 -07:00

docker

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

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

examples

Added tensorboard to resnet (#374 )

2017-03-17 18:36:23 -07:00

python

Exclude function source from function ID hash in Python interpreter. (#395 )

2017-03-25 11:31:21 -07:00

scripts

Run flake8 in Travis and make code PEP8 compliant. (#387 )

2017-03-21 12:57:54 -07:00

src

Implement local scheduler task queues using C++ data structures (#392 )

2017-03-30 00:40:01 -07:00

test

Run flake8 in Travis and make code PEP8 compliant. (#387 )

2017-03-21 12:57:54 -07:00

vsprojects

Windows compatibility (#57 )

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

webui

Run flake8 in Travis and make code PEP8 compliant. (#387 )

2017-03-21 12:57:54 -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

Expand API documentation. (#375 )

2017-03-17 16:48:25 -07:00

.travis.yml

Run flake8 in Travis and make code PEP8 compliant. (#387 )

2017-03-21 12:57:54 -07:00

build-docker.sh

Add multinode tests by simulating multiple nodes using Docker. (#378 )

2017-03-18 23:44:54 -07:00

build.sh

Parallelize make in build.sh. (#371 )

2017-03-27 20:55:50 -07:00

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.rst

Expand API documentation. (#375 )

2017-03-17 16:48:25 -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.

View the `documentation`_.

.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html

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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