eeg

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

A curated list of awesome neuroscience libraries, software and any content related to the domain.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

The MATLAB toolbox for MEG, EEG and iEEG analysis

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Python machine learning package based on sklearn API for multivariate signal processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Open-Source board for converting RaspberryPI to Brain-computer interface

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Deep learning software to decode EEG, ECG or MEG signals

Open-Source Brain-Computer Interface, ADS1299 and STM32

Mother of All BCI Benchmarks

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Outdated, see new https://github.com/braindecode/braindecode

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

CS198-96: Intro to Neurotechnology @ UC Berkeley

Converting real-time EEG into sounds, music and visual effects