EEG

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

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

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

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

Deep learning software to decode EEG, ECG or MEG signals

The MATLAB toolbox for MEG, EEG and iEEG analysis

Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

Mother of All BCI Benchmarks

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

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

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

A unified multi-task time series model.

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

A list of openly available datasets in (mostly human) electrophysiology.

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

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