eegnet

There are 3 repositories under eegnet topic.

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
eegnet pytorch eeg-analysis eeg-classification p300 brain-computer-interface convolutional-neural-networks bci speller
Language:Jupyter Notebook 330
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.
bci bci-systems convolutional-neural-networks deep-learning depthwise-convolutions depthwise-separable-convolutions eeg eeg-signals eegnet machine-learning python pytorch signal-processing
Language:Jupyter Notebook 128
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
bci bci-systems deep-learning eeg-signals eegnet machine-learning multi-scale-features signal-processing
Language:Jupyter Notebook 77
High-East / BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
shallowconvnet deepconvnet eegnet fbcnet bci2021 brain-computer-interface motor-imagery-classification pytorch
Language:Python 59
arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
data-augmentation eeg-signals eegnet keras keras-tensorflow motor-imagery-classification synthetic-dataset-generation variational-autoencoder
Language:Jupyter Notebook 42
AliAmini93 / ADHDeepNet
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.
adhd eeg-signals cnn deep-learning eegnet inception interpretability squeeze-and-excitation-networks t-sne weight-visualization
Language:Jupyter Notebook 40
IoBT-VISTEC / EEGANet
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
bci brain-computer-interface deeplearning deepneuralnetworks eeg eeg-analysis eeg-signals eeg-signals-processing eeglab eegnet neural-network
Language:Jupyter Notebook 38
Amir-Hofo / EEGNet_Pytorch
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".
eeg-net eegnet pytorch deep-learning eeg eeg-signals python signal-processing cnn convolutional-neural-network depthwise-convolutions depthwise-separable-convolutions
Language:Jupyter Notebook 32
Pooria90 / EEG-Motor-Imagery-Analysis
The codes that I implemented during my B.Sc. project.
deep-learning eeg-signals motor-imagery eegnet shallow-convnet deep-convnet pytorch
Language:Python 22
MIBCI-QCNNs
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.
bci motor-imagery eeg eegnet hls qcnns cnns
Language:Jupyter Notebook 15
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
deep-learning deepconvnet eeg-classification eeg-signals-processing eegnet pytorch
Language:Python 15
gzoumpourlis / Ensemble-MI
PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
bci deep-learning eeg eegnet motor-imagery physionet
Language:Python 14
jesus-333 / Dynamic-PyTorch-Net
Class to automatic create Convolutional Neural Network in PyTorch
cnn cnn-model pytorch neural-network neural-networks cnn-pytorch neural-network-pytorch neural-networks-pytorch pytorch-cnn pytorch-implementation eeg eeg-net eegnet eeg-cnn eegcnn
Language:Python 14
joycenerd / Deep_Learning_Practice_labs
Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
backpropagation eegnet deepconvnet eeg-classification diabetic-retinopathy-detection resnet conditional-variational-autoencoder sagan cdcgan wgan-gp dqn ddpg ddqn pytorch
Language:Python 9
steven112163 / Deep-Learning-and-Practice
NCTU(NYCU) Deep Learning and Practice Spring 2021
python3 deep-learning cpp reinforcement-learning pytorch temporal-difference eegnet deep-convolutional-networks resnet cvae dqn ddpg conditional-normalizing-flows conditional-gan
Language:Python 8
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.
diabetes-prediction ecg-signal eegnet ensemble-learning machine-learning matplotlib mit-bih-database motor-imagery numpy pandas random-forest scikit-learn svm ecg-arrhytmia-detection pytorch depthwise-convolutions separable-convolution 5-finger-classification artificial-intelligence
Language:Jupyter Notebook 7
phanquanghung / eeg-classification-api
EEG Classification API using Flask
api brain-computer-interface eegnet flask machine-learning motor-imagery-classification
Language:Python 6
aspyridakos / EEG-Based-Motor-Imagery-Decoding-with-Deep-Learning
Processing EEG data using Speechbrain-MOABB and model tuning to get best results
eeg-classification eegnet machine-learning moabb python speechbrain
Language:Jupyter Notebook 4
mj-sam / stage-trans
Stage training Implementation
eeg eegnet brain-computer-interface signal-processing python transfer-learning
Language:Python 2
PhilKes / ML-BCI
Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch
eeg-classification eeg-data eegnet machine-learning python pytorch
Language:Python 2
aisu-programming / Preprocessor-for-EEG-Signals
NYU CS-GY 9223 E Neuroinformatics (Spring 2024) - Final Project
bci bcic eeg eeg-classification eeg-signals eeg-signals-processing eegnet lstm optuna pytorch tensorflow torch transformer
Language:Shell 1
High-East / XAI606-EEGNet
Project for XAI606(Korea University)
brain-computer-interface bci motor-imagery-classification eegnet pytorch
Language:Python 1
inesjesus / subject-independent-eeg
Final project for the course Human Data Analytics (UniPD)
bci convnet data-augmentation eeg-classification eegnet
Language:Jupyter Notebook 1
MarceloContreras / Proyecto-EEGNet-
Clasificador de cognitive tasks para señales EEG basado en EEGNet utilizando el dataset de Aunon y Keirn (1989)
eegnet cnn cwt mvmd
Language:Jupyter Notebook 1
NhanUTS / EEGnet_MCU
EEGnet on a microcontroller
arduino bci brain-computer-interface eegnet machine-learning microcontroller tensorflow tensorflowlite tensorflowlite-for-microcontrollers
Language:C++ 1
kanwar19031 / EEG-Data-Classification
A deep learning project that unlocks the mysteries of brain activity by analyzing EEG data to classify cognitive states—comparing resting and task conditions using power spectral analysis and EEGNet.
eeg eegnet psd vision-transformer
Language:Jupyter Notebook 0
karahanyilmazer / lemon-eeg-stress
Analysis of the LEMON dataset for probing the relationship between resting-state EEG recordings and participants' stress levels.
eeg eegnet emotion-recognition stress lemon-dataset
Language:Python 0
ra890927 / NYCU_Deep_Learning
NYCU Deep Learning and Practice Summer 2023
conditional-vae ddpg ddpm deep-learning dqn eegnet python pytorch resnet
Language:Python

eegnet

aliasvishnu / EEGNet

amrzhd / EEGNet

amrzhd / EEG-MSCNN

High-East / BCI-ToolBox

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

AliAmini93 / ADHDeepNet

IoBT-VISTEC / EEGANet

Amir-Hofo / EEGNet_Pytorch

Pooria90 / EEG-Motor-Imagery-Analysis

eneriz-daniel / MIBCI-QCNNs

secondlevel / EEG-classification

gzoumpourlis / Ensemble-MI

jesus-333 / Dynamic-PyTorch-Net

joycenerd / Deep_Learning_Practice_labs

steven112163 / Deep-Learning-and-Practice

Amir-Hofo / AI_in_Biomedical_Data

phanquanghung / eeg-classification-api

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

mj-sam / stage-trans

PhilKes / ML-BCI

aisu-programming / Preprocessor-for-EEG-Signals

High-East / XAI606-EEGNet

inesjesus / subject-independent-eeg

MarceloContreras / Proyecto-EEGNet-

NhanUTS / EEGnet_MCU

kanwar19031 / EEG-Data-Classification

karahanyilmazer / lemon-eeg-stress

ra890927 / NYCU_Deep_Learning