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[docs] init list of oss projects (#10758)
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Barak Michener
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@@ -195,6 +195,7 @@ Papers
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ray-overview/index.rst
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installation.rst
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oss-users.rst
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.. toctree::
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:hidden:
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@@ -1,3 +1,5 @@
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.. _mars-on-ray:
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Mars on Ray
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============
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@@ -0,0 +1,79 @@
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.. _ray-oss-list:
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Community libraries that integrate with Ray
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===========================================
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This page lists libraries that integrate with Ray for distributed execution. If you'd like to add your project to this list, feel free to file a pull request or open an issue on GitHub.
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Horovod
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-------
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Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make distributed deep learning fast and easy to use.
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[`Link to integration <https://horovod.readthedocs.io/en/stable/ray_include.html>`__]
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MARS
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----
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Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.
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[:ref:`Link to integration <mars-on-ray>`]
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Spacy
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-----
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spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.
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[`Link to integration <https://pypi.org/project/spacy-ray/>`__]
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Hugging Face Transformers
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-------------------------
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State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
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[`Link to integration <https://huggingface.co/transformers/master/main_classes/trainer.html#transformers.Trainer.hyperparameter_search>`__]
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Seldon Alibi
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------------
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Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.
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Github: `https://github.com/SeldonIO/alibi <https://github.com/SeldonIO/alibi>`__
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Intel Analytics Zoo
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-------------------
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Analytics Zoo seamless scales TensorFlow, Keras and PyTorch to distributed big data (using Spark, Flink & Ray).
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[`Link to integration <https://analytics-zoo.github.io/master/#ProgrammingGuide/rayonspark/>`__]
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Modin
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-----
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Scale your pandas workflows by changing one line of code.
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Github: `https://github.com/modin-project/modin/ <https://github.com/modin-project/modin/>`__
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ClassyVision
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------------
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An end-to-end framework for image and video classification.
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[`Link to integration <https://classyvision.ai/tutorials/ray_aws>`__]
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PyCaret
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-------
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An open-source, low-code machine learning library in Python.
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Github: `https://github.com/pycaret/pycaret/ <https://github.com/pycaret/pycaret/>`_
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Flambe
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------
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Flambé is a machine learning experimentation framework built to accelerate the entire research life cycle. Flambé’s main objective is to provide a unified interface for prototyping models, running experiments containing complex pipelines, monitoring those experiments in real-time, reporting results, and deploying a final model for inference.
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Github: `https://github.com/asappresearch/flambe <https://github.com/asappresearch/flambe>`_
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@@ -18,10 +18,10 @@ On top of **Ray Core** are several libraries for solving problems in machine lea
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- :ref:`sgd-index`
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- :ref:`rayserve`
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Ray also has a number of other community contributed libraries:
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There are also many :ref:`community libraries <ray-oss-list>` that integrate with Ray, including `Modin`_, `Hugging Face Transformers`_, :doc:`../dask-on-ray`, `MARS`_, `Horovod`_, and others.
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Check out the :ref:`full list of Ray distributed libraries here <ray-oss-list>`.
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- :doc:`../dask-on-ray`
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- `Mars on Ray <https://github.com/mars-project/mars/pull/1508>`__
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- :doc:`../pandas_on_ray`
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- :doc:`../joblib`
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- :doc:`../multiprocessing`
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.. _`Modin`: https://github.com/modin-project/modin
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.. _`Hugging Face Transformers`: https://huggingface.co/transformers/main_classes/trainer.html#transformers.Trainer.hyperparameter_search
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.. _`MARS`: mars-on-ray.html
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.. _`Horovod`: https://horovod.readthedocs.io/en/stable/ray_include.html
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