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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray.io

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 825 Commits
.travis		.travis
cmake/Modules		cmake/Modules
doc		doc
docker		docker
examples		examples
python		python
scripts		scripts
src		src
test		test
vsprojects		vsprojects
webui		webui
.clang-format		.clang-format
.editorconfig		.editorconfig
.gitignore		.gitignore
.travis.yml		.travis.yml
CMakeLists.txt		CMakeLists.txt
LICENSE		LICENSE
README.md		README.md
Ray.sln		Ray.sln
build-docker.sh		build-docker.sh
build.sh		build.sh
pylintrc		pylintrc

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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.

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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray.io

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Apache-2.0 license

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