eegnet topic

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

aliasvishnu

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

arkanivasarkar

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

IoBT-VISTEC

The codes that I implemented during my B.Sc. project.

Pooria90

Deep Learning pipeline for motor-imagery classification.

High-East

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...

Amir-Hofo

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),...

AliAmini93