MNE-CPP: A Framework for Electrophysiology

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

MNELAB – a GUI for MNE

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

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

R and Python scripts for my Master Thesis

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

Scripts for the emotion EEG, ECG, sociability ISRSA analysis

I/O support for EEGLAB files in Python.

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

Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis

🧠Quality assessor for EEG recordings 🧠

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

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 [NOTE] This project is no longer maintained.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

MNE: Multi-relational Network Embedding

Hand gesture classification by optomyographical sensor signals

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

Mne-python source localization template

Jupiter notebook with EEG-data classification problem from the MNE library