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+Welcome to PINA's documentation!
+===================================================
+
+PINA is a Python package providing an easy interface to deal with
+physics-informed neural networks (PINN) for the approximation of (differential,
+nonlinear, ...) functions. Based on Pytorch, PINA offers a simple and intuitive
+way to formalize a specific problem and solve it using PINN.
+
+Physics-informed neural network
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+PINN is a novel approach that involves neural networks to solve supervised
+learning tasks while respecting any given law of physics described by general
+nonlinear differential equations. Proposed in "Physics-informed neural
+networks: A deep learning framework for solving forward and inverse problems
+involving nonlinear partial differential equations", such framework aims to
+solve problems in a continuous and nonlinear settings.
+
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Package Documentation:
+
+   Installation <_rst/installation>
+   Contributing <_rst/contributing>
+   License <LICENSE.rst>
+
+.. the following is demo content intended to showcase some of the features you can invoke in reStructuredText
+.. this can be safely deleted or commented out
+.. ........................................................................................
+
+.. toctree::
+    :maxdepth: 2
+    :numbered:
+    :caption: Tutorials
+
+.. ........................................................................................
+
+.. toctree::
+    :maxdepth: 2
+    :numbered:
+    :caption: Download
+
+.. ........................................................................................