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dario-coscia merged 1 commit into from
Oct 16, 2025
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Add SINDy tutorial #666

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1 change: 1 addition & 0 deletions docs/source/_tutorial.rst
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Expand Up @@ -40,5 +40,6 @@ Supervised Learning
- `Introductory Tutorial: Supervised Learning with PINA <tutorial20/tutorial.html>`_
- `Chemical Properties Prediction with Graph Neural Networks <tutorial15/tutorial.html>`_
- `Reduced Order Model with Graph Neural Networks for Unstructured Domains <tutorial22/tutorial.html>`_
- `Data-driven System Identification with SINDy <tutorial23/tutorial.html>`_
- `Unstructured Convolutional Autoencoders with Continuous Convolution <tutorial4/tutorial.html>`_
- `Reduced Order Modeling with POD-RBF and POD-NN Approaches for Fluid Dynamics <tutorial8/tutorial.html>`_
1 change: 1 addition & 0 deletions tutorials/README.md
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Expand Up @@ -43,6 +43,7 @@ Solving the Kuramoto–Sivashinsky Equation with Averaging Neural Operator |[[.i
Introductory Tutorial: Supervised Learning with PINA |[[.ipynb](tutorial20/tutorial.ipynb),[.py](tutorial20/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial20/tutorial.html)]|
Chemical Properties Prediction with Graph Neural Networks |[[.ipynb](tutorial15/tutorial.ipynb),[.py](tutorial15/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial15/tutorial.html)]|
Reduced Order Model with Graph Neural Networks for Unstructured Domains| [[.ipynb](tutorial22/tutorial.ipynb),[.py](tutorial22/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial22/tutorial.html)]|
Data-driven System Identification with SINDy| [[.ipynb](tutorial23/tutorial.ipynb),[.py](tutorial23/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial23/tutorial.html)]|
Unstructured Convolutional Autoencoders with Continuous Convolution |[[.ipynb](tutorial4/tutorial.ipynb),[.py](tutorial4/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial4/tutorial.html)]|
Reduced Order Modeling with POD-RBF and POD-NN Approaches for Fluid Dynamics| [[.ipynb](tutorial8/tutorial.ipynb),[.py](tutorial8/tutorial.py),[.html](http://mathlab.github.io/PINA/tutorial8/tutorial.html)]|

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