There are 51 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
Open-Source board for converting RaspberryPI to Brain-computer interface
Deep learning software to decode EEG, ECG or MEG signals
Mother of All BCI Benchmarks
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Parameterizing neural power spectra into periodic & aperiodic components.
Outdated, see new https://github.com/braindecode/braindecode
A list of openly available datasets in (mostly human) electrophysiology.
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
CS198-96: Intro to Neurotechnology @ UC Berkeley
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
A unified time series model.
AntroPy: entropy and complexity of (EEG) time-series in Python
Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
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.
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach