Topic: eegnet Goto Github
Some thing interesting about eegnet
Some thing interesting about eegnet
eegnet,NYU CS-GY 9223 E Neuroinformatics (Spring 2024) - Final Project
User: aisu-programming
eegnet,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), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
User: aliamini93
eegnet,[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
User: aliasvishnu
eegnet,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 Interfaces".
User: amir-hofo
eegnet,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 study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals
User: amrzhd
eegnet,This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
User: amrzhd
eegnet,Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
User: arkanivasarkar
eegnet,Processing EEG data using Speechbrain-MOABB and model tuning to get best results
User: aspyridakos
eegnet,This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
User: eneriz-daniel
eegnet,PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
User: gzoumpourlis
eegnet,Deep Learning pipeline for motor-imagery classification.
User: high-east
eegnet,Project for XAI606(Korea University)
User: high-east
eegnet,EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
User: iobt-vistec
eegnet,Class to automatic create Convolutional Neural Network in PyTorch
User: jesus-333
eegnet,Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
User: joycenerd
eegnet,Clasificador de cognitive tasks para seรฑales EEG basado en EEGNet utilizando el dataset de Aunon y Keirn (1989)
User: marcelocontreras
eegnet,Stage training Implementation
User: mj-sam
eegnet,EEGnet on a microcontroller
User: nhanuts
eegnet,EEG Classification API using Flask
User: phanquanghung
eegnet,Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch
User: philkes
eegnet,The codes that I implemented during my B.Sc. project.
User: pooria90
eegnet,NYCU Deep Learning and Practice Summer 2023
User: ra890927
eegnet,It 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
User: secondlevel
eegnet,NCTU(NYCU) Deep Learning and Practice Spring 2021
User: steven112163
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