sylvchev / moabb_minischool

Minischool on MOABB

Welcome onboard!

This is the repository for the minischool on MOABB, the Mother of All BC Benchmarks.

Installation

There is several possibilities. If you already have a working Python 3 environnement, you could use pip:
pip install MOABB

If you do not have a Python environment, we recommand installing Ananconda. We have USB key with the There are two option, the first on is creating a specific environment. You need to download this environment.yml file on this page and run the following command:
conda env create -f environment.yml
The other option is to use poetry, as explained on the MOABB website.

Minischool

Part 0 - Verification

Check your installation with notebooks/0_Minischool_Verify_Installation

Part 1 - Discovering MOABB

This first notebook demonstrate how to use MOABB, with a simple example on a famous motor imagery dataset. See notebooks/1_Minischool_Discovering_MOABB.ipynb

Part 1bis - Pyriemann

This interlude is meant to demonstrate some simple code to use Riemannian geometry with PyRiemann. See notebooks/1bis_Minischool_Pyriemann

Part 2 - Benchmark with P300 datasets

This notebook illustrate advanced possibilities of MOABB with an example benchmark on P300 dataset. See notebooks/2_Minischool_P300_Benchmarks