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

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

Mother of All BCI Benchmarks

Brain-Computer interface stuff

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

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

The programming interface for your body and mind

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Python Brain-Computer Interface Software

Low Cost Electroencephalogram Based Brain-Computer-Interface

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Classification toolbox for ERP and SSVEP based BCI data

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

A Python Library for Implementing Human-Computer Interface Experiments

An EEG Simmulator for Computational NeuroScience

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

Towards Turnkey Brain-Computer Interfaces

Senior Design Project at UH

The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

python SDK for interfacing with the mindaffect BCI decoder

Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification

Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox

Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

EEG Signal Processing - Entropy

High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals