Merge branch 'master' of https://git-dscin.intra.cea.fr/aidge/aidge

docs/source/Tutorial/index.rst

+Tutorials
+=========
+
+Incoming ...
\ No newline at end of file

docs/source/UserGuide/FrameworkPresentation/index.rst

+Overview of the Aidge Framework
+===============================
+

docs/source/UserGuide/GetStarted/index.rst

+Get Started
+===========
+
+.. toctree::
+    :maxdepth: 2
+
+    install.rst
+    quickStart.rst
\ No newline at end of file

docs/source/UserGuide/GetStarted/install.rst

+Install
+=======
+
+Build on Linux
+--------------
+
+Install Python
+^^^^^^^^^^^^^^
+
+To build manually Aidge on Linux, go at the root of the project and run in your python environment
+
+.. code-block:: bash
+
+    pip install . -v

docs/source/UserGuide/GetStarted/quickStart.rst

+Quick Start
+===========
+
+

docs/source/UserGuide/index.rst

+User Guide
+==========
+
+.. toctree::
+    :maxdepth: 1
+    :caption: Framework Presentation
+
+    ./FrameworkPresentation/index.rst
+
+
+.. toctree::
+    :maxdepth: 1
+    :caption: Get Started
+
+    ./GetStarted/index.rst
\ No newline at end of file

docs/source/index.rst

 Aidge
 =====
 
+:Release: |version|
+:Date: |today|
+
+Aidge is a `CEA LIST <https://list.cea.fr/en/>`_'s deep learning library
+optimized for export and processing on embedded devices.
+
+It allows to create or import a Computational Graph from common Frameworks, apply
+editing on its structure, train it and export its architecture on many
+embedded devices. It provides optimized functions for inference as
+well as training and many custom functionalities for the target device.
+
+.. grid:: 1 2 2 3
+    :margin: 4 4 0 0
+    :gutter: 1
+
+    .. grid-item-card:: :octicon:`desktop-download` Install
+        :link: UserGuide/GetStarted/install
+        :link-type: doc
+
+        Find your configuration and requirements.
+
+    .. grid-item-card:: :octicon:`table` Quick Start
+        :link: UserGuide/GetStarted/quickStart
+        :link-type: doc
+
+        Build, train and deploy your first network.
+
+    .. grid-item-card:: :octicon:`checklist` General Presentation
+        :link: UserGuide/FrameworkPresentation/index
+        :link-type: doc
+
+        The main hub for detailed usage explanations.
+
+    .. grid-item-card:: :octicon:`book` API Reference
+        :link: API/index
+        :link-type: doc
+
+        Details every modules, classes and functions.
+
+    .. grid-item-card:: :octicon:`light-bulb` Tutorials
+        :link: Tutorial/index
+        :link-type: doc
+
+        Learn by seeing.
+    
+    .. grid-item-card:: :octicon:`comment` Exchange forum
+        :link: https://gitlab.eclipse.org/groups/eclipse/aidge/-/issues
+
+        Exchange with the team and other users over features.
+
+
+What is Aidge ?
+---------------
+
+Aidge is a direct successor of `N2D2 <https://n2d2.readthedocs.io/en/latest/intro/intro.html>`_,
+a solution for fast and accurate Deep Neural Network (DNN) simulation Framework as well
+as full and automated DNN-based applications building.
+
+Aidge keeps the numerous embedded supports that made the strength of N2D2 while
+improving or adding many functionalities, among which:
+
+- A more userfriendly API and documentation.
+- | An simpler structure for both the compuational graph and the code,
+  | making it easier to understand and edit the functions
+- A highly customizable plugin system with templates and tutorials to follow
+- A light core library
+- World-leading, device-dependant, graph optimization functionalities
+- Runtime execution on the target device with any of the core functionalities exportable
+- Hand on the Scheduler
+- Possibility to run a single DNN on heterogeneous targets
+
+
+Licence
+-------
+
+Aidge is released under the Eclipse Public License 2.0
+
+
+.. toctree::
+    :maxdepth: 1
+    :hidden:
+    
+    UserGuide/index.rst
+    API/index.rst
+    Tutorial/index.rst