Search Results - RepositoryStats

4

106

mit

3

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

bci eeg eegnet python pytorch bci-systems eeg-signals deep-learning machine-learning signal-processing depthwise-convolutions convolutional-neural-networks depthwise-separable-convolutions

Created 2024-05-03

19 commits to main branch, last one 3 months ago

EEG-MSCNN amrzhd

1

74

mit

2

This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the ...

bci eegnet bci-systems eeg-signals deep-learning machine-learning signal-processing multi-scale-features

Created 2024-08-13

13 commits to main branch, last one 4 months ago

BCI-ToolBox High-East

10

59

mit

1

Deep Learning pipeline for motor-imagery classification.

eegnet fbcnet bci2021 pytorch deepconvnet shallowconvnet brain-computer-interface motor-imagery-classification

Created 2022-01-09

6 commits to master branch, last one 2 years ago

EEG-Data-Augmentation-using-Variational-Autoencoder arkanivasarkar

10

38

unknown

2

Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

keras eegnet eeg-signals keras-tensorflow data-augmentation variational-autoencoder motor-imagery-classification synthetic-dataset-generation

Created 2021-10-14

13 commits to main branch, last one 27 days ago

ADHDeepNet AliAmini93

0

35

unknown

2

ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), ...

cnn adhd t-sne eegnet inception eeg-signals deep-learning interpretability weight-visualization squeeze-and-excitation-networks

Created 2023-11-12

6 commits to main branch, last one 5 months ago

EEGNet_Pytorch Amir-Hofo

1

31

unknown

2

This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer...

cnn eeg eegnet python eeg-net pytorch eeg-signals deep-learning signal-processing depthwise-convolutions convolutional-neural-network depthwise-separable-convolutions

Created 2024-02-06

12 commits to main branch, last one 10 months ago