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https://github.com/vale981/ray
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174 lines
4.3 KiB
ReStructuredText
174 lines
4.3 KiB
ReStructuredText
Ray Tutorials and Examples
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==========================
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Ray Examples
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------------
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.. panels::
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:container: container pb-4 full-width
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:column: col-md-3 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: images/pipeline.png
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+++
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.. link-button:: tips-for-first-time
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:type: ref
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:text: Tips for First Time Users
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: testing-tips
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:type: ref
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:text: Tips for Testing Ray Programs
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: progress_bar
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:type: ref
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:text: Progress Bar for Ray Actors
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: plot_streaming
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:type: ref
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:text: Streaming MapReduce
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: placement-group
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:type: ref
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:text: Placement Group Examples
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:classes: btn-link btn-block stretched-link
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Machine Learning Examples
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-------------------------
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.. panels::
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:container: container pb-4 full-width
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:column: col-md-3 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: images/param_actor.png
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+++
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.. link-button:: plot_parameter_server
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:type: ref
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:text: Build a Simple Parameter Server Using Ray
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:classes: btn-link btn-block stretched-link
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---
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:img-top: images/hyperparameter.png
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+++
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.. link-button:: plot_hyperparameter
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:type: ref
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:text: Simple Parallel Model Selection
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: plot_lbfgs
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:type: ref
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:text: Walkthrough of parallelizing the L-BFGS algorithm
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: plot_example-lm
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:type: ref
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:text: Fault-Tolerant Fairseq Training
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:classes: btn-link btn-block stretched-link
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---
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:img-top: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: plot_newsreader
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:type: ref
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:text: Implementing a Simple News Reader with Ray
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:classes: btn-link btn-block stretched-link
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---
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:img-top: images/xgboost_logo.png
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.. link-button:: dask_xgboost/dask_xgboost
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:type: ref
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:text: Train an XGBoost-Ray Model Using Dask for Data Processing
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:classes: btn-link btn-block stretched-link
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---
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:img-top: images/xgboost_logo.png
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.. link-button:: modin_xgboost/modin_xgboost
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:type: ref
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:text: Train an XGBoost-Ray Model Using Modin for Data Processing
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:classes: btn-link btn-block stretched-link
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Reinforcement Learning Examples
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-------------------------------
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These are simple examples that show you how to leverage Ray Core.
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For Ray's production-grade reinforcement learning library, see `RLlib <http://docs.ray.io/en/latest/rllib.html>`__.
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.. panels::
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:container: container pb-4 full-width
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:column: col-md-3 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: images/pong.png
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.. link-button:: plot_pong_example
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:type: ref
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:text: Learning to Play Pong
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:classes: btn-link btn-block stretched-link
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---
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:img-top: images/a3c.png
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.. link-button:: plot_example-a3c
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:type: ref
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:text: Asynchronous Advantage Actor Critic (A3C)
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:classes: btn-link btn-block stretched-link
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End-to-end Machine Learning Guides
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----------------------------------
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These are full guides on how you can use Ray with various Machine Learning libraries
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.. panels::
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:container: container pb-4 full-width
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:column: col-md-3 px-2 py-2
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:img-top-cls: pt-5 w-75 d-block mx-auto
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---
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:img-top: images/pytorch_lightning_small.png
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+++
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.. link-button:: using-ray-with-pytorch-lightning
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:type: ref
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:text: Using Ray With PyTorch Lightning
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:classes: btn-link btn-block stretched-link
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