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

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

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

Variational mode decomposition (VMD) in Python

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

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

Analyze and manipulate EEG data using PyEEGLab.

Empirical wavelet transform (EWT) in Python

MWF-based EEG artifact removal in MATLAB

EEG-Based Emotion Recognition

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

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

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

A MATLAB application to automatize analysis of EEG data

Machine learning for Anonymous detection of an alcoholic by EEG signals

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

Android app for EEG data visualization and recording with the Traumschreiber BLE device

Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.