docs: remove mention of applied libraries (ivy-llc#23191)

README.md

@@ -322,63 +322,6 @@ The model\'s output can be visualized as follows:
    <img width="50%" class="dark-light" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/regressor_lq.gif">
 </div>
 
-Last but not least, we are also working on specific extensions totally
-written in Ivy and therefore usable within any framework, covering
-topics like [Mechanics](https://github.com/unifyai/mech), [Computer
-Vision](https://github.com/unifyai/vision),
-[Robotics](https://github.com/unifyai/robot), a [Reinforcement Learning
-Gym](https://github.com/unifyai/gym),
-[Memory](https://github.com/unifyai/memory) and implementation of
-various [Models](https://github.com/unifyai/models) or [Builder
-tools](https://github.com/unifyai/builder) with trainers, data loaders
-and more!
-
-<br/>
-<div align="center">
-<a class="only-dark" href="https://github.com/unifyai/mech#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_mech_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/mech#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_mech.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/vision#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_vision_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/vision#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_vision.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/robot#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_robot_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/robot#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_robot.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/gym#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_gym_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/gym#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_gym.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/memory#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_memory_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/memory#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_memory.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/builder#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_builder_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/builder#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_builder.png#gh-light-mode-only">
-</a>
-<a class="only-dark" href="https://github.com/unifyai/models#gh-dark-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_models_dark.png#gh-dark-mode-only">
-</a>
-<a class="only-light" href="https://github.com/unifyai/models#gh-light-mode-only">
-    <img class="only-dark" width="12.5%" style="padding-right: 4px; padding-bottom: 4px;" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/main/img/externally_linked/logos/ivy_models.png#gh-light-mode-only">
-</a>
-</div>
-<br clear="all" />
 
 As always, you can find more information about [Ivy as a framework in
 the

docs/overview/contributing.rst

@@ -30,10 +30,7 @@ The contributor guide is split into the sections below, it's best to go from sta
 | (e) `Open Tasks <contributing/open_tasks.rst>`_
 | See where you can help us out! 🙋
 |
-| (f) `Applied Libraries <contributing/applied_libraries.rst>`_
-| Getting started with our applied libraries! 📚
-|
-| (g) `Helpful Resources <contributing/helpful_resources.rst>`_
+| (f) `Helpful Resources <contributing/helpful_resources.rst>`_
 | Resources you would find useful when learning Ivy 📖
 |
 | (g) `Error Handling <contributing/error_handling.rst>`_
@@ -49,7 +46,6 @@ The contributor guide is split into the sections below, it's best to go from sta
    contributing/building_the_docs.rst
    Deep Dive <https://unify.ai/docs/ivy/overview/deep_dive.html>
    contributing/open_tasks.rst
-   contributing/applied_libraries.rst
    contributing/helpful_resources.rst
    contributing/error_handling.rst
 

docs/overview/contributing/building_the_docs.rst

@@ -25,18 +25,18 @@ Using existing image on Docker Hub
 
 You can also use the ``unifyai/doc-builder`` image hosted on
 `Docker Hub <https://hub.docker.com/r/unifyai/doc-builder>`_ to build the
-docs. This will be helpful if you want to build the docs for Ivy applied libraries.
+docs.
 
 Run ``docker run`` to build the docs. The following command will build the docs for
 the project in the current directory and output them to ``docs/build``.
 
 .. code-block:: bash
 
-    cd <ivy directory or applied library directory>
+    cd <ivy directory>
     docker run --rm -v $(pwd):/project unifyai/doc-builder
 
 This command will mount the module directory to ``/project`` in the container, the
-current directory can be the root of ``ivy`` or any applied library such as ``mech``.
+current directory should be the root of ``ivy``.
 
 Building the image locally
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -87,8 +87,8 @@ Then, run the following command to build the docs:
 .. code-block:: bash
 
     cd doc-builder
-    ./make_docs_without_docker.sh <ivy directory or applied library directory>
+    ./make_docs_without_docker.sh <ivy directory>
 
 The script will install the required dependencies for `sphinx <https://www.sphinx-doc.org>`_
-which is used to build the docs, as well as dependencies required by Ivy or the Ivy
-applied library. Then it will build the docs for Ivy and store it in ``docs/build``.
+which is used to build the docs, as well as dependencies required by Ivy. Then it will
+build the docs for Ivy and store it in ``docs/build``.

docs/overview/faq.rst

@@ -4,7 +4,6 @@ FAQ
 .. _`dex`: https://github.com/dexidp/dex
 .. _`API for distributed training`: https://github.com/unifyai/ivy/blob/a2f37b1bae232b7ba5257e59f8b46a0374cca9f1/ivy/functional/ivy/device.py#L660
 .. _`fully support these`: https://pytorch.org/tutorials/prototype/vmap_recipe.html
-.. _`Ivy Builder`: https://github.com/unifyai/builder
 .. _`README`: https://github.com/unifyai/ivy
 
 These are some of the most common technical questions that continue to arise when we're discussing Ivy with developers in the community.
@@ -156,7 +155,6 @@ The Pipeline
 
 **A:** We are not advocating to replace all code with Ivy.
 We would encourage users to continue using whatever data loaders they want to, and perhaps just use an Ivy model, or use Ivy to convert a model, or even just a single function from a library.
-If users want to use Ivy more deeply, then they can use `Ivy Builder`_, which includes framework-agnostic abstract data loaders, trainers, and other higher level classes for composing full training pipelines.
 
 State
 -----

docs/overview/glossary.rst

@@ -45,12 +45,6 @@ All of these new words can get confusing! We've created a glossary to help nail
     Automatic Code Conversions
         Allows code to be converted from one framework to another whilst retaining its functional assets.
 
-    Applied Libraries
-        Suite of various machine learning libraries that have been built using the Ivy framework.
-
-    Ivy Builder
-        Helpful classes and functions for creating training workflows.
-
     Primary Functions
         Primary functions are the lowest level building blocks in Ivy and are generally implemented as light wrapping around an existing function in the backend framework, which serves a near-identical purpose.
 

docs/partial_conf.py

@@ -48,6 +48,7 @@
 from docs.conf import html_theme_options
 
 html_theme_options["switcher"]["json_url"] = "https://unify.ai/docs/versions/ivy.json"
+html_sidebars = {"**": ["custom-toc-tree"]}
 
 repo_name = "ivy"