MNELAB – a GUI for MNE

PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Python routines for parsing of combined EEG and eye-tracking data

User-friendly MNE-python based graphical user interface to do MEG and EEG analysis with multiple subjects

🧠 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system

I/O support for EEGLAB files in Python.

[DEPRECATED] EEG Frequency Visualizer - MNE

We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.

Detecting ASD with Models Trained on EEG/IRT Data

🧠Quality assessor for EEG recordings 🧠

A Deep Learning Library for State-Based EEG Analysis

Classify whether a patient is having ASD or not using EEG Data. [NOTE] This project is no longer maintained. An active version is now in https://github.com/nirdslab/asd-detection

The technical process of processing EEG data with Python-MNE and Octave.

A runner for the MNE BIDS Pipeline.

Mne-python source localization template

A python package for loading XDF files into MNE

ICApp is a Python-based application that offers a graphical user interface to view and analyze MNE Tools ICA components

42 school project. Process EEG datas by cleaning, extracting, creating a ML pipeline implementing a dimensionality reduction algorithm before finding the right classifier and handling a real time data-stream with sklearn.

Basic repo to test BIDS app on MNE sample data (ds000248)