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EEG

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/danielemarinazzo/GT_trous

Multiscale Granger causality analysis by à trous wavelet transform

https://github.com/dl4mhealth/adformer

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment

https://github.com/dl4mhealth/medts_evaluation

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

https://github.com/dmlc/dgl/tree/master/examples/pytorch/eeg-gcnn

EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network

https://github.com/dongyangli-del/eeg_image_decode

Decoding Natural Images from EEG for Object Recognition

https://github.com/drwuHUST/TLBCI

Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline

https://github.com/duggalrahul/REST

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

https://github.com/eeyhsong/eeg-transformer

Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

https://github.com/emmanuelkalunga/Offline-Riemannian-SSVEP

Using Riemannian geometry for SSVEP-based Brain Computer Interface

https://github.com/esantamariavazquez/EEG-Inception

EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification

https://github.com/ethorsrud/Master

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

https://github.com/exporl/auditory-eeg-challenge-2023-code

Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model

https://github.com/famousgrouse/AccSleepNet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/gitzh-chen/rmlr

Riemannian Multinomial Logistics Regression for SPD Neural Networks

https://github.com/gmarceca/UTime-PlasmaStates

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

https://github.com/gurucharanmk/PyTorch_CosineAnnealingWithRestartsLR

SGDR: Stochastic Gradient Descent with Warm Restarts

https://github.com/hubertjb/dl-eeg-review

Deep learning-based electroencephalography analysis: a systematic review

https://github.com/jaamiila/IntroSe-ales

Open and free EEG datasets for epilepsy diagnosis

https://github.com/jae1213/CyclicalLR_SGDR

SGDR: Stochastic Gradient Descent with Warm Restarts

https://github.com/jhupiterz/SafeSeizure

A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data

https://github.com/jinglescode/python-signal-processing

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

https://github.com/jolibrain/caffe

SGDR: Stochastic Gradient Descent with Warm Restarts

https://github.com/jstranne/mouse_self_supervision

Uncovering the structure of clinical EEG signals with self-supervised learning

https://github.com/karaposu/Brain_typing

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

https://github.com/kburel/SNN_HFO_iEEG

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

https://github.com/kburel/snn-hfo-detection

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

https://github.com/kusumikakd/EEGLearn

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

https://github.com/kusumikakd/EEG_Multiclass

Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features

https://github.com/kylemath/DeepEEG

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

https://github.com/lclarte/dreemmva

Deep learning with convolutional neural networks for EEG decoding and visualization

https://github.com/leesk212/new_deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

https://github.com/longjj/Caffe-SGDR

SGDR: Stochastic Gradient Descent with Warm Restarts

https://github.com/luizantoniona/eeg-epileptic-seizure-detection

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection

https://github.com/majorash/eeg_epilepsy_conv1d

An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach

https://github.com/mezo11/2

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

https://github.com/mindspore-ai/contrib/tree/master/intern/RGNN

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.