#Eeg
Showing 47 of 47 repositories tagged #eeg, ranked by stars
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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
Mother of All BCI Benchmarks
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
[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
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.
A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse
python implementations of Analyzing Neural Time Series Textbook
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
MNE-CPP: The C++ framework for real-time functional brain imaging.
A viewing application for biosignals
Python Brain-Computer Interface Software
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
A list of openly available software tools for (mostly human) electrophysiology.
[Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba
Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Representational Similarity Analysis on MEG and EEG data
MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)
A time series signal analysis and classification framework
PyTorch implementation of TSception
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Elata SDK is the cross-platform biosignal toolkit for building neurotechnology and remote biosensing apps on web and native.
🧠 Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)
EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
An open source tool for large-scale EEG datasets processing
Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
EYE-EEG toolbox for combining eye-tracking & EEG
This project demonstrates various signal processing techniques, such as signal generation, window functions, filtering, downsampling, zero-padding, and the application of time-frequency analysis using the Short-Time Fourier Transform (STFT).
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
A tool for bulk download, formatting and SQL DB storage of exercise, training, nutrition, wellness and health data from various trackers.
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
BCI-assisted neurodivergent productivity suite — self-reported or EEG-driven cognitive metrics + an agentic AI task planner (Claude) that adapts to how your brain is actually performing.
Machine Learning in Neuroimaging data, Fall 2020.
Open Source EEG