[docs] Fix broken links in new community libraries page ++ (#10785)

* fix

* fix up

* update

* revert

* typo

* update

README.rst

@@ -22,8 +22,8 @@ Install Ray with: ``pip install ray``. For nightly wheels, see the
 
 .. _`Modin`: https://github.com/modin-project/modin
 .. _`Hugging Face`: https://huggingface.co/transformers/main_classes/trainer.html#transformers.Trainer.hyperparameter_search
-.. _`MARS`: mars-on-ray.html
-.. _`Dask`: dask-on-ray.html
+.. _`MARS`: https://docs.ray.io/en/master/mars-on-ray.html
+.. _`Dask`: https://docs.ray.io/en/master/dask-on-ray.html
 .. _`Horovod`: https://horovod.readthedocs.io/en/stable/ray_include.html
 .. _`Scikit-learn`: joblib.html
 

doc/source/dask-on-ray.rst

@@ -2,7 +2,7 @@
 Dask on Ray
 ***********
 
-Ray offers an experimental scheduler for Dask, allowing you to build data
+Ray offers a scheduler integration for Dask, allowing you to build data
 analyses using the familiar Dask collections (dataframes, arrays) and execute
 the underlying computations on a Ray cluster. Using this Dask scheduler, the
 entire Dask ecosystem can be executed on top of Ray.

doc/source/index.rst

@@ -194,6 +194,7 @@ Papers
    :caption: Overview of Ray
 
    ray-overview/index.rst
+   oss-users.rst
    installation.rst
 
 .. toctree::
@@ -282,7 +283,6 @@ Papers
    iter.rst
    dask-on-ray.rst
    mars-on-ray.rst
-   oss-users.rst
 
 .. toctree::
    :hidden:

doc/source/mars-on-ray.rst

@@ -6,7 +6,7 @@ Mars on Ray
 .. _`issue on GitHub`: https://github.com/mars-project/mars/issues
 
 
-`Mars`_ Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.
+`Mars`_ is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.
 Mars on Ray makes it easy to scale your programs with a Ray cluster.
 
 .. note::

doc/source/oss-users.rst

@@ -5,6 +5,13 @@ Community Integrations
 
 This page lists libraries that have integrations 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.
 
+Ray also comes packaged with several built-in machine learning libraries:
+
+- :doc:`../tune/index`
+- :ref:`rllib-index`
+- :ref:`sgd-index`
+- :ref:`rayserve`
+
 ClassyVision |classyvision|
 ---------------------------
 
@@ -18,7 +25,7 @@ Dask |dask|
 
 Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love. Dask uses existing Python APIs and data structures to make it easy to switch between Numpy, Pandas, Scikit-learn to their Dask-powered equivalents.
 
-[`Link to integration <dask-on-ray>`__]
+[`Link to integration <dask-on-ray.html>`__]
 
 Flambe |flambe|
 ---------------
@@ -33,7 +40,7 @@ MARS |mars|
 Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. Mars can scale in to a single machine, and scale out to a cluster with thousands of machines.
 
 
-[`Link to integration <mars-on-ray>`__]
+[`Link to integration <mars-on-ray.html>`__]
 
 Modin |modin|
 -------------

doc/source/ray-overview/basics.rst

@@ -22,7 +22,7 @@ There are also many :ref:`community integrations <ray-oss-list>` with Ray, inclu
 
 .. _`Modin`: https://github.com/modin-project/modin
 .. _`Hugging Face`: https://huggingface.co/transformers/main_classes/trainer.html#transformers.Trainer.hyperparameter_search
-.. _`MARS`: mars-on-ray.html
-.. _`Dask`: dask-on-ray.html
+.. _`MARS`: https://docs.ray.io/en/master/mars-on-ray.html
+.. _`Dask`: https://docs.ray.io/en/master/dask-on-ray.html
 .. _`Horovod`: https://horovod.readthedocs.io/en/stable/ray_include.html
 .. _`Scikit-learn`: joblib.html