ray/doc/examples/overview.rst

Ray Tutorials and Examples
==========================

Get started with Ray, Tune, and RLlib with these notebooks that you can run online in Colab or Binder: `Ray Tutorial Notebooks <https://github.com/ray-project/tutorial>`__


Ray Examples
------------

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   tips-for-first-time.rst
   testing-tips.rst
   progress_bar.rst
   plot_streaming.rst
   placement-group.rst

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   :tooltip: Tips for first time users.
   :figure: /images/pipeline.png
   :description: :doc:`/auto_examples/tips-for-first-time`

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   :tooltip: Tips for testing Ray applications
   :description: :doc:`/auto_examples/testing-tips`

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   :tooltip: Progress Bar for Ray Tasks
   :description: :doc:`/auto_examples/progress_bar`

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   :tooltip: Implement a simple streaming application using Ray’s actors.
   :description: :doc:`/auto_examples/plot_streaming`

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   :tooltip: Learn placement group use cases with examples.
   :description: :doc:`/auto_examples/placement-group`

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Machine Learning Examples
-------------------------

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   plot_parameter_server.rst
   plot_hyperparameter.rst
   plot_lbfgs.rst
   plot_example-lm.rst
   plot_newsreader.rst
   dask_xgboost/dask_xgboost.rst
   modin_xgboost/modin_xgboost.rst


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   :tooltip: Build a simple parameter server using Ray.
   :figure: /images/param_actor.png
   :description: :doc:`/auto_examples/plot_parameter_server`

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   :tooltip: Simple parallel asynchronous hyperparameter evaluation.
   :figure: /images/hyperparameter.png
   :description: :doc:`/auto_examples/plot_hyperparameter`

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   :tooltip: Walkthrough of parallelizing the L-BFGS algorithm.
   :description: :doc:`/auto_examples/plot_lbfgs`


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   :tooltip: Distributed Fault-Tolerant BERT training for FAIRSeq using Ray.
   :description: :doc:`/auto_examples/plot_example-lm`

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   :tooltip: Implementing a simple news reader using Ray.
   :description: :doc:`/auto_examples/plot_newsreader`

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   :tooltip: Train an XGBoost-Ray model using Dask for data processing.
   :description: :doc:`/auto_examples/dask_xgboost/dask_xgboost`

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   :tooltip: Train an XGBoost-Ray model using Modin for data processing.
   :description: :doc:`/auto_examples/modin_xgboost/modin_xgboost`


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Reinforcement Learning Examples
-------------------------------

These are simple examples that show you how to leverage Ray Core. For Ray's production-grade reinforcement learning library, see `RLlib <http://docs.ray.io/en/latest/rllib.html>`__.

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   plot_pong_example.rst
   plot_example-a3c.rst

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   :tooltip: Asynchronous Advantage Actor Critic agent using Ray.
   :figure: /images/a3c.png
   :description: :doc:`/auto_examples/plot_example-a3c`

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   :tooltip: Parallelizing a policy gradient calculation on OpenAI Gym Pong.
   :figure: /images/pong.png
   :description: :doc:`/auto_examples/plot_pong_example`

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End-to-end Machine Learning Guides
----------------------------------

These are full guides on how you can use Ray with various Machine Learning libraries

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   using-ray-with-pytorch-lightning.rst

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   :tooltip: Using Ray with PyTorch Lightning.
   :figure: /images/pytorch_lightning_small.png
   :description: :doc:`/auto_examples/using-ray-with-pytorch-lightning`