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[docs] ray slack remove banners (#13898)
Signed-off-by: Richard Liaw <rliaw@berkeley.edu>
This commit is contained in:
@@ -300,7 +300,6 @@ More Information
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Getting Involved
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----------------
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- `Community Slack`_: Join our Slack workspace.
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- `Forum`_: For discussions about development, questions about usage, and feature requests.
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- `GitHub Issues`_: For reporting bugs.
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- `Twitter`_: Follow updates on Twitter.
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@@ -311,5 +310,4 @@ Getting Involved
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.. _`GitHub Issues`: https://github.com/ray-project/ray/issues
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.. _`StackOverflow`: https://stackoverflow.com/questions/tagged/ray
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.. _`Meetup Group`: https://www.meetup.com/Bay-Area-Ray-Meetup/
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.. _`Community Slack`: https://forms.gle/9TSdDYUgxYs8SA9e8
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.. _`Twitter`: https://twitter.com/raydistributed
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@@ -6,8 +6,7 @@ Getting Involved / Contributing
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Ray is more than a framework for distributed applications but also an active community of developers,
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researchers, and folks that love machine learning.
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.. tip:: Join our `community Slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to
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discuss Ray or ask questions on `our forum <https://discuss.ray.io/>`_! The
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.. tip:: Ask questions on `our forum <https://discuss.ray.io/>`_! The
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community is extremely active in helping people succeed in building their
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Ray applications.
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@@ -3,8 +3,6 @@
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Installing Ray
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==============
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.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
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Ray currently supports MacOS and Linux.
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Windows wheels are now available, but :ref:`Windows support <windows-support>` is experimental and under development.
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@@ -14,8 +14,6 @@ The main features are:
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- **Composability**: RaySGD is built on top of the Ray Actor API, enabling seamless integration with existing Ray applications such as RLlib, Tune, and Ray.Serve.
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- **Scale up and down**: Start on single CPU. Scale up to multi-node, multi-CPU, or multi-GPU clusters by changing 2 lines of code.
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.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
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Getting Started
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---------------
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@@ -9,8 +9,6 @@ RLlib is an open-source library for reinforcement learning that offers both high
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To get started, take a look over the `custom env example <https://github.com/ray-project/ray/blob/master/rllib/examples/custom_env.py>`__ and the `API documentation <rllib-toc.html>`__. If you're looking to develop custom algorithms with RLlib, also check out `concepts and custom algorithms <rllib-concepts.html>`__.
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.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray/RLlib!
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RLlib in 60 seconds
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-------------------
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@@ -30,7 +30,7 @@ Ray Serve can be used in two primary ways to deploy your models at scale:
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.. tip::
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Chat with Ray Serve users and developers on our `community Slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ in the #serve channel and on our `forum <https://discuss.ray.io/>`_!
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Chat with Ray Serve users and developers on our `forum <https://discuss.ray.io/>`_!
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.. note::
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Starting with Ray version 1.2.0, Ray Serve backends take in a Starlette Request object instead of a Flask Request object.
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@@ -21,9 +21,6 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a
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**Want to get started?** Head over to the :doc:`Key Concepts page </tune/key-concepts>`.
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.. tip:: Join the `Ray community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray Tune (and other Ray libraries)!
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Quick Start
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-----------
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