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298

1.2k

other

41

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 keras tensorflow deep-learning eeg-classification sensory-motor-rhythm brain-computer-interface event-related-potentials time-series-classification convolutional-neural-networks

Created 2018-05-16

34 commits to master branch, last one 2 years ago

EEG-DL SuperBruceJia

225

977

mit

22

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Created 2020-04-30

107 commits to master branch, last one about a year ago

ironbci pieeg-club

43

508

unknown

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Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

bci eeg stm32 ads1299 ironbci eeg-data bci-systems eeg-headset eeg-signals bci-homework eeg-classification eeg-signals-processing

Created 2021-07-25

302 commits to master branch, last one about a month ago

EEG-Transformer eeyhsong

29

276

gpl-3.0

4

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 (c...

eeg vit attention transformer deep-learning eeg-classification attention-mechanism physiological-signals common-spatial-pattern

Created 2021-05-27

30 commits to main branch, last one about a year ago

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

47

210

unknown

5

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

eeg esi cnns matlab python eeg-data brain-com tensorflow eeg-signals eeg-analysis motor-imagery tensorflow-models eeg-classification motor-imagery-tasks motor-imagery-training tensorflow-experiments brain-computer-interface motor-imagery-classification convolutional-neural-networks

Created 2019-06-04

18 commits to master branch, last one 7 months ago

AttnSleep emadeldeen24

63

203

mit

1

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

eeg pytorch attention sleep-staging self-attention eeg-classification sleep-stage-scoring sleep-stage-classification

Created 2020-10-21

47 commits to main branch, last one about a year ago

EEG-To-Text MikeWangWZHL

35

171

unknown

10

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

bart bert language eeg-signals language-model eeg-classification sentiment-analysis brain-computer-interface

This repository has been archived (exclude archived)

Created 2021-07-30

28 commits to main branch, last one 5 months ago

eeg-gcnn neerajwagh

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164

unknown

5

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...

eeg ml4h neurips pytorch eeg-gcnn dgl-graph eeg-signals neurips-2020 deep-learning machine-learning eeg-classification convolutional-network graph-neural-networks eeg-signals-processing

Created 2020-11-03

30 commits to master branch, last one 2 years ago

EEG-Transformer zwcolin

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163

gpl-3.0

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A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

bci vit transformer eeg-classification

Created 2022-02-19

9 commits to main branch, last one 22 days ago

entropy raphaelvallat

47

157

bsd-3-clause

9

EntroPy: complexity of time-series in Python (DEPRECATED)

eeg python entropy biosignals complexity non-linear eeg-analysis entropy-bits neuroscience machine-learning signal-processing eeg-classification features-extraction permutation-entropy

Created 2018-10-16

106 commits to master branch, last one 3 years ago

CTNet snailpt

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131

mit

4

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

bci cnn eeg mi-eeg python pytorch transformer deep-learning motor-imagery eeg-classification

Created 2024-07-19

66 commits to main branch, last one 14 days ago

TSception yi-ding-cs

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95

other

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[TAFFC-2022] PyTorch implementation of TSception v2

cnn multi-scale-model eeg-classification emotion-recognition

Created 2021-10-15

41 commits to main branch, last one about a year ago

LGG yi-ding-cs

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90

other

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[TNNLS-2023] This is the PyTorch implementation of LGGNet.

deep-learning eeg-classification graph-neural-networks

Created 2022-01-05

31 commits to main branch, last one about a year ago

EEG_real_time_seizure_detection AITRICS

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83

mit

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Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

eeg time-series seizure-detection signal-processing eeg-classification

Created 2022-01-18

29 commits to master branch, last one 2 years ago

MIN2Net IoBT-VISTEC

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80

apache-2.0

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End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

ae bci dml eeg autoencoder deep-learning machine-learning eeg-classification multi-task-learning deep-metric-learning brain-computer-interface

Created 2021-05-16

29 commits to main branch, last one 2 years ago

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

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63

mit

1

Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

cnn deep-learning ensemble-learning eeg-classification emotion-recognition

Created 2021-02-18

19 commits to main branch, last one 3 years ago

eeg_mi_dl edw4rdyao

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61

mit

4

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 mode...

bci cnn eeg gcn moabb mne-python bci-systems braindecode transformer motor-imagery eeg-classification eeg-signals-processing motor-imagery-classification

Created 2023-03-07

71 commits to main branch, last one 4 months ago

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

6

50

other

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This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

matlab scinet eeg-data open-data neuroscience open-science deep-learning eeg-classification matlab-deep-learning convolutional-neural-networks

Created 2021-06-14

3 commits to main branch, last one about a year ago

EEG-Emotion-Recognition shyammarjit

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47

mit

2

EEG-Based Emotion Recognition

deep-learning machine-learning genetic-algorithm eeg-classification emotion-recognition eeg-signals-processing optimization-algorithms brain-computer-interface

Created 2022-12-29

140 commits to IRIA-2021 branch, last one 6 months ago

EEGWaveNet IoBT-VISTEC

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47

unknown

2

source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)

ai cnn eeg pytorch seizure wavelet healthcare deep-learning machine-learning eeg-classification convolutional-neural-networks

Created 2021-05-17

37 commits to main branch, last one 2 years ago

EEG-with-JetsonNano pieeg-club

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46

unknown

6

Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG

bci eeg emg nvidia jetson-nano eeg-classification

Created 2021-10-23

118 commits to master branch, last one 26 days ago

snn-eeg combra-lab

4

35

unknown

3

PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware

eeg loihi pytorch eeg-classification neuromorphic-computing spiking-neural-network brain-computer-interface

Created 2022-05-30

6 commits to main branch, last one 2 years ago

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

6

34

mit

1

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 emotion-analysis eeg-classification

Created 2022-04-10

4 commits to main branch, last one 2 years ago

IITNet-official gist-ailab

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31

mit

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This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".

pytorch biosignals eeg-signals deep-learning sleep-staging eeg-classification deep-neural-networks

Created 2022-03-16

25 commits to main branch, last one 2 years ago

TactileNet AliAmini93

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30

mit

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Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNNs to classify surface textures encountered through a robotic de...

cnn tactile deep-learning surface-roughness eeg-classification

Created 2022-07-27

3 commits to main branch, last one 2 years ago