This repository is structured as follows:
code: The main code to train and evaluate the models.notebooks: Exploratory and auxiliary Jupyter notebooks.presentations: The presentations, as well as the final poster.
The required data can be obtained from the ADNI Project.
To install them, run:
pip install -r requirements.txt
-- description
python train.py
-- description
python test.py
Project implemented and maintained by Andres Zapata Rodriguez, Mohamed Said Derbel, Niklas Bühler.
