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https://github.com/vale981/ray
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9e2e84bc1c
It's important to show how Ray can be used for easily parallelizable independent tasks. I put this together to demonstrate how to di this.
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85 lines
No EOL
2 KiB
ReStructuredText
Ray Tutorials and Examples
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==========================
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Machine Learning Examples
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-------------------------
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.. panels::
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:container: container pb-4
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:column: col-md-4 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_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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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
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:column: col-md-4 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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+++
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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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+++
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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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Basic Examples
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--------------
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.. panels::
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:container: container pb-4
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:column: col-md-4 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: /ray-overview/images/ray_svg_logo.svg
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+++
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.. link-button:: highly_parallel
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:type: ref
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:text: Using Ray for Highly Parallelizable Tasks
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:classes: btn-link btn-block stretched-link |