eeg-classification

SuperBruceJia/EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

pieeg-club/ironbci

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

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

eeyhsong/EEG-Transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

snailpt/CTNet

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

emadeldeen24/AttnSleep

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

MikeWangWZHL/EEG-To-Text

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

zwcolin/EEG-Transformer

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

neerajwagh/eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

raphaelvallat/entropy

EntroPy: complexity of time-series in Python (DEPRECATED)

yi-ding-cs/TSception

[TAFFC-2022] PyTorch implementation of TSception v2

Raghav714/EEG-Emotion-classification

yi-ding-cs/LGG

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

AITRICS/EEG_real_time_seizure_detection

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

IoBT-VISTEC/MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

vrcarva/ewtpy

Empirical wavelet transform (EWT) in Python

YangWangsky/tf_EEGLearn

A tensorflow implementation for EEGLearn

edw4rdyao/eeg_mi_dl

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble

Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

MultiScale-BCI/IV-2a

AlessioZanga/PyEEGLab

Analyze and manipulate EEG data using PyEEGLab.

shyammarjit/EEG-Emotion-Recognition

EEG-Based Emotion Recognition

pieeg-club/EEG-with-JetsonNano

Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG

IoBT-VISTEC/EEGWaveNet

source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)

matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

rceballos98/EEG_Classifier

A general matlab framework for EEG data classification

IoBT-VISTEC/Pre-trained-EEG-for-Deep-Learning

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)

combra-lab/snn-eeg

PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware

zabir-nabil/eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

IoBT-VISTEC/MetaSleepLearner

Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)

digital-cinema-arts/Muse-Analysis-Tools

A set of tools to analyze and create charts from Muse EEG devices.

IoBT-VISTEC/Decoding-EEG-during-AO-MI-ME

The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify

Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。