Hands-on tutorial at SISSA
============================

A hands-on tutorial of DADApy was given at the
*International School for Advanced Studies* (`SISSA <https://www.sissa.it/>`_)
during the *Young Researcher's Workshop on Machine Learning for Materials*
(`ML4M <https://ml4m.xyz/>`_).

.. image:: /_static/tutorial_screenshot.png
   :target: https://www.youtube.com/watch?v=BqTmHrb-0vs&list=PLYc-eBoIpXTLRPmVi6qPgljHu-Fs9_ptc

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You can find the video recording of the lesson `here <https://www.youtube.com/watch?v=BqTmHrb-0vs&list=PLYc-eBoIpXTLRPmVi6qPgljHu-Fs9_ptc>`_,
and the slides `here <https://www.dropbox.com/s/s1huaquatc2qwkk/Tutorial_DADApy.pdf>`_.


Finally, the three Colab notebooks used in the tutorial are

 * `Tutorial 0: Visualising the curse of dimensionality <https://colab.research.google.com/drive/1v7hE2Vy8H2yqhb_6A3Aw5_Y2pFDSH_TG?usp=sharing>`_
 * `Tutorial 1: Intrinsic dimension estimation <https://colab.research.google.com/drive/1tW6PsTOiWfDFqi5mIV2k9l7zSvsvTaLW?usp=sharing>`_
 * `Tutorial 2: Density and density peaks estimation <https://colab.research.google.com/drive/1eOZLPr-sEegujRSYNQ20JL52_LEDwLko?usp=sharing>`_

and the notebook mentioned at the end for experimenting freely with the package is available
`here <https://github.com/sissa-data-science/DADApy/blob/main/examples/notebook_beta_hairpin.ipynb>`_.