A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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

Open-Source Brain-Computer Interface, ADS1299 and STM32

Variational mode decomposition (VMD) in Python

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.

An R package for processing and plotting of electroencephalography (EEG) data

Empirical wavelet transform (EWT) in Python

Analyze and manipulate EEG data using PyEEGLab.

A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.

A driver, parser and real time plotter for NeuroSky MindWave EEG headset

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning

A set of tools to analyze and create charts from Muse EEG devices.

EEG-Based Emotion Recognition

Machine learning for Anonymous detection of an alcoholic by EEG signals

EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate

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

A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.