MNELAB – a GUI for MNE

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

Simulation and optimization of neural circuits for MEG/EEG source estimates

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

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

MATLAB / Octave tools for BIDS datasets

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Machine learning for beginner(Data Science enthusiast)

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

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

EEG Reader is an Android mobile application, which reads EEG signal from NeuroSky mobile device connected to smartphone via Bluetooth.

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Neuroimaging in Julia

AntroPy: entropy and complexity of (EEG) time-series in Python

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

SigViewer is a viewing application for biosignals.