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.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 29 days ago - Pushed at: 9 months ago - Stars: 129 - Forks: 8

Angqi666/EEGNet-Replication

This repository contains a replication of the EEGNet code, an efficient convolutional neural network architecture for EEG-based brain–computer interface applications. The project is intended to make the original work more accessible and to serve as a basis for further research and experimentation in EEG signal analysis.

Language: Python - Size: 14.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

amrzhd/EEG-MSCNN

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

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 74 - Forks: 1

Amir-Hofo/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".

Language: Jupyter Notebook - Size: 337 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 33 - Forks: 1

Amir-Hofo/AI_in_Biomedical_Data

This educational repository focuses on working with three types of medical data: tabular data, ECG and EEG signals. It provides implementations of machine learning and deep learning models for processing and analyzing these medical data, with practical projects based on recent research articles.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 42 - Forks: 9

karahanyilmazer/lemon-eeg-stress

Analysis of the LEMON dataset for probing the relationship between resting-state EEG recordings and participants' stress levels.

Language: Python - Size: 1.79 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

aspyridakos/EEG-Based-Motor-Imagery-Decoding-with-Deep-Learning

Processing EEG data using Speechbrain-MOABB and model tuning to get best results

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

gzoumpourlis/Ensemble-MI

Language: Python - Size: 42 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

PhilKes/ML-BCI

Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch

Language: Python - Size: 57.8 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

phanquanghung/eeg-classification-api

EEG Classification API using Flask

Language: Python - Size: 125 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

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

Language: Jupyter Notebook - Size: 169 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 221 - Forks: 61

High-East/BCI-ToolBox

Deep Learning pipeline for motor-imagery classification.

Language: Python - Size: 32.2 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 34 - Forks: 7

mj-sam/stage-trans

Stage training Implementation

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ra890927/NYCU_Deep_Learning

NYCU Deep Learning and Practice Summer 2023

Language: Python - Size: 67.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MarceloContreras/Proyecto-EEGNet-

Clasificador de cognitive tasks para señales EEG basado en EEGNet utilizando el dataset de Aunon y Keirn (1989)

Language: Jupyter Notebook - Size: 19 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

joycenerd/Deep_Learning_Practice_labs

Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.

Language: Python - Size: 42.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

Pooria90/EEG-Motor-Imagery-Analysis

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

Language: Python - Size: 1.21 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 0

eneriz-daniel/MIBCI-QCNNs

This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

jesus-333/Dynamic-PyTorch-Net

Class to automatic create Convolutional Neural Network in PyTorch

Language: Python - Size: 309 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 2

secondlevel/EEG-classification

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

Language: Python - Size: 25.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

IoBT-VISTEC/EEGANet

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

Language: Jupyter Notebook - Size: 120 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 2

steven112163/Deep-Learning-and-Practice

NCTU(NYCU) Deep Learning and Practice Spring 2021

Language: Python - Size: 36.7 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

High-East/XAI606-EEGNet

Project for XAI606(Korea University)

Language: Python - Size: 199 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1