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

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

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

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

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

The MATLAB toolbox for MEG, EEG and iEEG analysis

Deep learning software to decode EEG, ECG or MEG signals

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

Mother of All BCI Benchmarks

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

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

Open-Source Brain-Computer Interface, ADS1299 and STM32

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

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

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

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

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

A unified multi-task time series model.

Parameterizing neural power spectra into periodic & aperiodic components.