eeg-classification

There are 44 repositories under eeg-classification topic.

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
eeg deep-learning convolutional-neural-networks keras tensorflow brain-computer-interface eeg-classification time-series-classification event-related-potentials sensory-motor-rhythm
Language:Python 1082
SuperBruceJia / EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning residual-learning densenet resnet graph-convolutional-neural-networks lstm gru attention-mechanism fully-convolutional-networks transformer transformers
Language:Python 869
Ildaron / ironbci
Open-Source Brain-Computer Interface, ADS1299 and STM32
ads1299 bci bci-homework bci-systems eeg eeg-classification eeg-data eeg-headset eeg-signals eeg-signals-processing ironbci stm32
Language:C 477
aliasvishnu / EEGNet
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
eegnet pytorch eeg-analysis eeg-classification p300 brain-computer-interface convolutional-neural-networks bci speller
Language:Jupyter Notebook 257
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.
deep-learning attention-mechanism vit transformer attention common-spatial-pattern eeg eeg-classification physiological-signals
Language:Python 219
SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
eeg-data motor-imagery-tasks cnns convolutional-neural-networks esi tensorflow python eeg eeg-signals eeg-analysis eeg-classification motor-imagery motor-imagery-classification motor-imagery-training brain-com brain-computer-interface matlab tensorflow-models tensorflow-experiments
Language:Python 181
emadeldeen24 / AttnSleep
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
sleep-staging sleep-stage-scoring sleep-stage-classification pytorch eeg-classification eeg self-attention attention
Language:Python 161
raphaelvallat / entropy
EntroPy: complexity of time-series in Python (DEPRECATED)
entropy entropy-bits python permutation-entropy signal-processing eeg-analysis biosignals neuroscience complexity eeg eeg-classification machine-learning features-extraction non-linear
Language:Python 153
Piyush-Bhardwaj / EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
machine-learning supervised-learning knn-classification svm-classifier eeg-classification deap-dataset
Language:Python 144
neerajwagh / eeg-gcnn
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
graph-neural-networks eeg-classification eeg-signals-processing deep-learning machine-learning eeg eeg-signals convolutional-network eeg-gcnn neurips neurips-2020 ml4h dgl-graph pytorch
Language:Python 142
zwcolin / EEG-Transformer
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
eeg-classification bci vit transformer
Language:Python 133
MikeWangWZHL / EEG-To-Text
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
bart bert brain-computer-interface eeg-classification eeg-signals language language-model sentiment-analysis
Language:Python 129
Raghav714 / EEG-Emotion-classification
eeg-classification eeg-data eeg-signals-processing emotion-recognition
Language:Python 100
YangWangsky / tf_EEGLearn
A tensorflow implementation for EEGLearn
convolutional-neural-networks deep-learning eeg-classification long-short-term-memory
Language:Python 76
vrcarva / ewtpy
Empirical wavelet transform (EWT) in Python
ewt signal-processing wavelet-decomposition python pypi-package seizure-detection seizure-prediction eeg-classification eeg-signals-processing
Language:Python 75
IoBT-VISTEC / MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
ae autoencoder bci brain-computer-interface deep-learning deep-metric-learning dml eeg eeg-classification machine-learning multi-task-learning
Language:Python 71
yi-ding-cs / TSception
[TAFFC-2022] PyTorch implementation of TSception v2
cnn multi-scale-model eeg-classification emotion-recognition
Language:Python 71
AITRICS / EEG_real_time_seizure_detection
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
eeg-classification signal-processing seizure-detection eeg time-series
Language:Python 69
MultiScale-BCI / IV-2a
bci eeg-signals eeg-classification multiclass-classification riemannian svm csp
Language:Python 63
yi-ding-cs / LGG
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
deep-learning eeg-classification graph-neural-networks
Language:Python 61
AlessioZanga / PyEEGLab
Analyze and manipulate EEG data using PyEEGLab.
dataset preprocessing eeg eeg-signals-processing eeg-analysis eeg-classification eeg-data mne-python tensorflow keras
Language:Python 58
Abhishek-Iyer1 / emotion-classifcation-eeg-seed-ensemble
Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
cnn deep-learning eeg-classification emotion-recognition ensemble-learning
Language:Jupyter Notebook 48
rceballos98 / EEG_Classifier
A general matlab framework for EEG data classification
classification eeg-classification classification-framework svm svm-classifier eeg
Language:MATLAB 47
matlab-deep-learning / Abnormal-EEG-Signal-Classification-Using-CNNs
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
deep-learning matlab open-data open-science eeg-classification eeg-data convolutional-neural-networks scinet neuroscience matlab-deep-learning
Language:MATLAB 44
edw4rdyao / eeg_mi_dl
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
cnn eeg mne-python braindecode moabb eeg-signals-processing gcn motor-imagery-classification bci bci-systems eeg-classification motor-imagery transformer
Language:Jupyter Notebook 43
Ildaron / EEG-with-JetsonNano
Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
eeg eeg-classification jetson-nano bci emg nvidia
Language:C 42
IoBT-VISTEC / Pre-trained-EEG-for-Deep-Learning
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
deep-learning machine-learning eeg eeg-classification brain-computer-interface event-related-potentials p300-speller transfer-learning pre-trained-model pre-training erp
Language:Python 37
IoBT-VISTEC / EEGWaveNet
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
pytorch deep-learning cnn eeg-classification seizure eeg ai healthcare convolutional-neural-networks machine-learning wavelet
Language:Python 35
Muse-Analysis-Tools
digital-cinema-arts / Muse-Analysis-Tools
A set of tools to analyze and create charts from Muse EEG devices.
eeg-analysis muse-headband eeg eeg-signals-processing eeg-classification eeg-headband
Language:Python 34
zabir-nabil / eeg-rsenet
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
biosignal classification eeg eeg-classification eeg-matlab eeg-neural-networks matlab-eeg-classification motor-imagery motor-imagery-eeg neural-net random-subspace-ensemble random-subspace-ensemble-network rse-net signal-classification
Language:Jupyter Notebook 34
IoBT-VISTEC / Decoding-EEG-during-AO-MI-ME
The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
bci eeg-classification eeg-data eeglab motor-imagery
Language:Python 32
IoBT-VISTEC / MetaSleepLearner
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
convolutional-neural-networks deep-learning eeg eeg-classification maml meta-learning pre-trained-model sleep-stage-classification transfer-learning
Language:Python 32
jesus-333 / FBCSP-Python
Python implemementation of the FBCSP algorithm
csp fbcsp eeg eeg-classification eeg-analysis machine-learning fbcsp-python
Language:Python 30
Z-Fran / DEAP-EEG-Emotion-Analyse-and-Classify
Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。
deap-dataset eeg-analysis eeg-classification emotion-analysis
Language:Jupyter Notebook 30
shyammarjit / EEG-Emotion-Recognition
EEG-Based Emotion Recognition
brain-computer-interface deep-learning eeg-classification eeg-signals-processing emotion-recognition genetic-algorithm machine-learning optimization-algorithms
Language:Jupyter Notebook 28
SuperBruceJia / EEG-BayesianCNN
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
eeg eeg-signals eeg-classification bayesian bayesian-methods bayesian-convnets bayesian-inference pytorch-implementation eeg-signals-classification bayesian-cnns
Language:Python 28

eeg-classification

vlawhern / arl-eegmodels

SuperBruceJia / EEG-DL

Ildaron / ironbci

aliasvishnu / EEGNet

eeyhsong / EEG-Transformer

SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow

emadeldeen24 / AttnSleep

raphaelvallat / entropy

Piyush-Bhardwaj / EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

neerajwagh / eeg-gcnn

zwcolin / EEG-Transformer

MikeWangWZHL / EEG-To-Text

Raghav714 / EEG-Emotion-classification

YangWangsky / tf_EEGLearn

vrcarva / ewtpy

IoBT-VISTEC / MIN2Net

yi-ding-cs / TSception

AITRICS / EEG_real_time_seizure_detection

MultiScale-BCI / IV-2a

yi-ding-cs / LGG

AlessioZanga / PyEEGLab

Abhishek-Iyer1 / emotion-classifcation-eeg-seed-ensemble

rceballos98 / EEG_Classifier

matlab-deep-learning / Abnormal-EEG-Signal-Classification-Using-CNNs

edw4rdyao / eeg_mi_dl

Ildaron / EEG-with-JetsonNano

IoBT-VISTEC / Pre-trained-EEG-for-Deep-Learning

IoBT-VISTEC / EEGWaveNet

digital-cinema-arts / Muse-Analysis-Tools

zabir-nabil / eeg-rsenet

IoBT-VISTEC / Decoding-EEG-during-AO-MI-ME

IoBT-VISTEC / MetaSleepLearner

jesus-333 / FBCSP-Python

Z-Fran / DEAP-EEG-Emotion-Analyse-and-Classify

shyammarjit / EEG-Emotion-Recognition

SuperBruceJia / EEG-BayesianCNN