55 skills found · Page 1 of 2
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
MousaviSajad / SleepEEGNetSleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
amrzhd / EEGNetThis project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
amrzhd / EEG MSCNNThis 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 study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals
High-East / BCI ToolBoxDeep Learning pipeline for motor-imagery classification.
sucv / EEGNet Pytorch ImplementationPytorch implementation of EEGNet.
arkanivasarkar / EEG Data Augmentation Using Variational AutoencoderImproving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
AliAmini93 / ADHDeepNetADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
Amir-Hofo / EEGNetThis 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 Interfaces".
IoBT-VISTEC / EEGANetEEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
cbhanu / BCI EEGNetEEGNet implementation of 2 BCI competition datasets
QQ7778 / Eegnet Pytorch使用的pytorch编写的eegnet代码，方便现在进行调试
lwlBCI / EEG MI ATCNet运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比
s4rduk4r / Eegnet PytorchEEGNet implementation in PyTorch
Pooria90 / EEG Motor Imagery AnalysisThe codes that I implemented during my B.Sc. project.
ABaldrati / AugmentBrainIn AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
secondlevel / EEG ClassificationIt is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf
gzoumpourlis / Ensemble MIPyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
MatthewK3023 / EEG ClassificationImplement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset
YangWangsky / Tf EEGNetIt's a tensorflow implemention for EEGNet
