eeg
There are 1490 repositories under eeg topic.
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
neuropsychology/NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
brainflow-dev/brainflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
analyticalmonk/awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
vlawhern/arl-eegmodels
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
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
fieldtrip/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
pieeg-club/EEGwithRaspberryPI
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
NeuroTechX/moabb
Mother of All BCI Benchmarks
pbashivan/EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
sccn/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
eeyhsong/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
mims-harvard/UniTS
A unified multi-task time series model.
pieeg-club/ironbci
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
openlists/ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
akaraspt/deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
brainstorm-tools/brainstorm3
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
DeepBCI/Deep-BCI
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
fooof-tools/fooof
Parameterizing neural power spectra into periodic & aperiodic components.
eegsynth/eegsynth
Converting real-time EEG into sounds, music and visual effects
neuropsychology/NeuroKit.py
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
neurotech-berkeley/neurotech-course
CS198-96: Intro to Neurotechnology @ UC Berkeley
upsidedownlabs/BioAmp-EXG-Pill
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
raphaelvallat/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
TNTLFreiburg/braindecode
Outdated, see new https://github.com/braindecode/braindecode
eeyhsong/EEG-Transformer
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.
urish/muse-js
Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
kylemath/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
Altaheri/EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
cbrnr/mnelab
MNELAB – a GUI for MNE
xiangzhang1015/Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
forrestbao/pyeeg
Python + EEG/MEG = PyEEG
NeuroTechX/eeg-101
Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.
MousaviSajad/SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach