agramfort

22_main_ml_meeg_tuto

hiparis_ml_eeg

mne-python

MNE scripting with Python

liesse_telecom_paristech_python

Supports de cours Python de la formation LIESSE de Telecom ParisTech

datacamp-master

Datacamp class for master student - 1 week

mne-bids-pipeline

Template for a group study using the MNE Python software

coffeine

M/EEG power regression library

joblib

Python function as pipeline jobs.

openmeeg

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

ramp-board

RAMP packages: database, backend, frontend, utilities

agramfort.github.io

Source of my webpage

autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

benchmark_jointdiag

Benchmark repository for Approximate Joint Diagonalization (AJD)

benchmark_logreg_l2

Benchopt benchmark for L2-regularized Logistic Regression

benchmark_nmf

benchmark_zero_order

benchOpt

braindecode

IOKR

main-educational.github.io

website of the educational workshop of the Montreal Artificial Intelligence and Neuroscience (MAIN) conference

mne-bids

MNE BIDS

mne-bids-pipeline-config-files

Config files and reports of the MNE-BIDS-Pipeline

mne-features

MNE-Features software for extracting features from multivariate time series

mne-testing-data

Data for mne-python testing

openmeeg_sample_data

OpenMEEG demo dataset with shell / bat / python scripts

openmeeg_viz

Visualization code for OpenMEEG files

pyRiemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

qndiag

Quasi-Newton algorithm for joint-diagonalization

results

BenchOpt benchmark results

skada

Domain adaptation toolbox compatible with scikit-learn and pytorch