mirror of
https://github.com/vale981/ray
synced 2025-03-09 12:56:46 -04:00
33 lines
1.4 KiB
ReStructuredText
33 lines
1.4 KiB
ReStructuredText
|
|
.. raw:: html
|
|
|
|
<embed>
|
|
<a href="https://github.com/ray-project/ray"><img style="position: absolute; top: 0; right: 0; border: 0;" src="https://camo.githubusercontent.com/365986a132ccd6a44c23a9169022c0b5c890c387/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f7265645f6161303030302e706e67" alt="Fork me on GitHub" data-canonical-src="https://s3.amazonaws.com/github/ribbons/forkme_right_red_aa0000.png"></a>
|
|
</embed>
|
|
|
|
.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png
|
|
|
|
**Ray provides a simple and universal API for building distributed applications.**
|
|
|
|
Ray accomplishes this mission by:
|
|
|
|
1. Providing simple primitives for building and running distributed applications.
|
|
2. Enabling end users to parallelize single machine code, with little to zero code changes.
|
|
3. Including a large ecosystem of applications, libraries, and tools on top of the core Ray to enable complex applications.
|
|
|
|
**Ray Core** provides the simple primitives for application building.
|
|
|
|
On top of **Ray Core** are several libraries for solving problems in machine learning:
|
|
|
|
- :doc:`../tune/index`
|
|
- :ref:`rllib-index`
|
|
- :ref:`sgd-index`
|
|
- :ref:`rayserve`
|
|
|
|
Ray also has a number of other community contributed libraries:
|
|
|
|
- :doc:`../dask-on-ray`
|
|
- `Mars on Ray <https://github.com/mars-project/mars/pull/1508>`__
|
|
- :doc:`../pandas_on_ray`
|
|
- :doc:`../joblib`
|
|
- :doc:`../multiprocessing`
|