There are 59 repositories under eeg topic.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
A curated list of awesome neuroscience libraries, software and any content related to the domain.
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
Mother of All BCI Benchmarks
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
A unified multi-task time series model.
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
A list of openly available datasets in (mostly human) electrophysiology.
[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
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Parameterizing neural power spectra into periodic & aperiodic components.
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
CS198-96: Intro to Neurotechnology @ UC Berkeley
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
Outdated, see new https://github.com/braindecode/braindecode
AntroPy: entropy and complexity of (EEG) time-series in Python
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.
Attention temporal convolutional network for EEG-based motor imagery classification
A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse