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Philipp Moritz 793a102846 Make Ray code C++ compatible (#321) 
* convert Ray to C++
* const correctness
2017-03-01 01:17:24 -08:00
.travis Updated tfutils to use new op naming (#284) 2017-02-15 17:47:53 -08:00
cmake/Modules help cmake find right python interpreter on mac (#251) 2016-07-11 12:16:10 -07:00
doc Docker Updates (#308) 2017-02-28 18:57:51 -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 Move documentation to ReadTheDocs. (#326) 2017-02-27 21:14:31 -08:00
scripts Rename photon -> local scheduler. (#322) 2017-02-27 12:24:07 -08:00
src Make Ray code C++ compatible (#321) 2017-03-01 01:17:24 -08:00
test Availability after worker failure (#316) 2017-02-25 20:19:36 -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 Switch build system to use CMake completely. (#200) 2017-01-17 16:56:40 -08:00
.travis.yml Move documentation to ReadTheDocs. (#326) 2017-02-27 21:14:31 -08:00
build-docker.sh Docker Updates (#308) 2017-02-28 18:57:51 -08:00
build.sh Adding flatbuffers and migrating flatcc to flatbuffers for plasma (#325) 2017-02-28 18:47:40 -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

Build Status Documentation Status

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.