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

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

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…

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

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

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

Analyze and manipulate EEG data using PyEEGLab.

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"

Machine learning for Anonymous detection of an alcoholic by EEG signals

EEG Features to be extract from raw data.

A package for manipulating EEG data in R.

Supporting code for the GX Dataset

A MATLAB application to automatize analysis of EEG data

Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.