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Welcome to PINA’s documentation!
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    Physics Informed Neural network for Advanced modeling (**PINA**) is
    an open-source Python library providing an intuitive interface for
    solving differential equations using PINNs, NOs or both together.

    Based on `PyTorch <https://pytorch.org/>`_ and `PyTorchLightning <https://lightning.ai/docs/pytorch/stable/>`_, **PINA** offers a simple and intuitive way to formalize a specific (differential) problem
    and solve it using neural networks . The approximated solution of a differential equation
    can be implemented using PINA in a few lines of code thanks to the intuitive and user-friendly  interface.        

 

    Contact us by email for further information or questions about **PINA**, or suggest pull requests. 


    

  .. grid-item-card:: Contents
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      Installing <_rst/_installation>
      Tutorial <_rst/_tutorial>
      API <_rst/_code>

..   .. grid-item-card:: Features
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..     * :bdg-secondary:`New` Objects: :ref:`API <objects_api>` | :doc:`Tutorial <tutorial/objects_interface>`
..     * Relational plots: :ref:`API <relational_api>` | :doc:`Tutorial <tutorial/relational>`
..     * Distribution plots: :ref:`API <distribution_api>` | :doc:`Tutorial <tutorial/distributions>`
..     * Categorical plots: :ref:`API <categorical_api>` | :doc:`Tutorial <tutorial/categorical>`
..     * Regression plots: :ref:`API <regression_api>` | :doc:`Tutorial <tutorial/regression>`
..     * Multi-plot grids: :ref:`API <grid_api>` | :doc:`Tutorial <tutorial/axis_grids>`
..     * Figure theming: :ref:`API <style_api>` | :doc:`Tutorial <tutorial/aesthetics>`
..     * Color palettes: :ref:`API <palette_api>` | :doc:`Tutorial <tutorial/color_palettes>`