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33 lines
1.5 KiB
ReStructuredText
33 lines
1.5 KiB
ReStructuredText
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.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png
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**Ray provides a simple, universal API for building distributed applications.**
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Ray accomplishes this mission by:
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1. Providing simple primitives for building and running distributed applications.
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2. Enabling end users to parallelize single machine code, with little to zero code changes.
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3. Including a large ecosystem of applications, libraries, and tools on top of the core Ray to enable complex applications.
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**Ray Core** provides the simple primitives for application building.
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On top of **Ray Core** are several libraries for solving problems in machine learning:
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- :doc:`../tune/index`
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- :ref:`rllib-index`
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- :ref:`sgd-index`
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- :ref:`datasets` (alpha)
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As well as libraries for taking ML and distributed apps to production:
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- :ref:`rayserve`
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- :ref:`workflows` (alpha)
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There are also many :ref:`community integrations <ray-oss-list>` with Ray, including `Dask`_, `MARS`_, `Modin`_, `Horovod`_, `Hugging Face`_, `Scikit-learn`_, and others. Check out the :ref:`full list of Ray distributed libraries here <ray-oss-list>`.
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.. _`Modin`: https://github.com/modin-project/modin
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.. _`Hugging Face`: https://huggingface.co/transformers/main_classes/trainer.html#transformers.Trainer.hyperparameter_search
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.. _`MARS`: https://docs.ray.io/en/latest/data/mars-on-ray.html
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.. _`Dask`: https://docs.ray.io/en/latest/data/dask-on-ray.html
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.. _`Horovod`: https://horovod.readthedocs.io/en/stable/ray_include.html
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.. _`Scikit-learn`: joblib.html
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