Tutorials

Here we gather a collection of tutorials for different parts of this library. You can access all the notebooks in our repo.

• Theory models and ANDI 1: this tutorials introduced the theoretical models contained in this library, as well as the generation of datasets for the ANDI 2020 challenge.

• ANDI 1 submission: from trajectories to predictions: this tutorial shows how to manage the datasets given in the AnDi 2020 challenge and shows how to do predictions both with an statistical approach as with machine learning method.

• Phenom models and ANDI 2: this tutorial overviews the phenomenological models contained in the library, as well as how to generate datasets for the ANDI 2 challenge.

• Creating videos tutorial: this tutorial shows how to generate videos using combining the deep-track library together with andi-datasets.