eeg-classification

SuperBruceJia/EEG-DL

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

Ildaron/ironbci

Open-Source Brain-Computer Interface, ADS1299 and STM32

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.

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

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

emadeldeen24/AttnSleep

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

MikeWangWZHL/EEG-To-Text

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

raphaelvallat/entropy

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

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.

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.

zwcolin/EEG-Transformer

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

snailpt/CTNet

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

Raghav714/EEG-Emotion-classification

yi-ding-cs/TSception

[TAFFC-2022] PyTorch implementation of TSception v2

vrcarva/ewtpy

Empirical wavelet transform (EWT) in Python

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)

YangWangsky/tf_EEGLearn

A tensorflow implementation for EEGLearn

IoBT-VISTEC/MIN2Net

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

MultiScale-BCI/IV-2a

AlessioZanga/PyEEGLab

Analyze and manipulate EEG data using PyEEGLab.

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

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

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).

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

Ildaron/EEG-with-JetsonNano

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

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

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

IoBT-VISTEC/EEGWaveNet

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

shyammarjit/EEG-Emotion-Recognition

EEG-Based Emotion Recognition

zabir-nabil/eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

AliAmini93/TactileNet

Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNNs to classify surface textures encountered through a robotic device in tactile trials.

combra-lab/snn-eeg

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

IoBT-VISTEC/MetaSleepLearner

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

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)

jesus-333/FBCSP-Python

Python implemementation of the FBCSP algorithm