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10 search results found

Arl Eegmodels ⭐ 622

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

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

Eeglearn ⭐ 518

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Deepsleepnet ⭐ 347

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

Eeg Motor Imagery Classification Cnns Tensorflow ⭐ 118

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

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Sleepeegnet ⭐ 106

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Eeg Atcnet ⭐ 100

Attention temporal convolutional network for EEG-based motor imagery classification

Tinysleepnet ⭐ 76

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

Cnns On Chb Mit ⭐ 62

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

Eeg Gcnn ⭐ 56

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.

P300 Cnnt ⭐ 52

1D Convolutional Neural Networks for P300 detection from EEG signals

Eeg Adapt ⭐ 39

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Eeg_classification ⭐ 37

EEG Sleep stage classification using CNN with Keras

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

Motor Imagery Tasks Classification Using Eeg Data ⭐ 29

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

Eeg Emotion Recognition ⭐ 27

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

Ssvep Multi Task Learning ⭐ 25

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

Deep Learning Emotion Decoding Using Eeg Data From Autism Individuals ⭐ 24

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner [email protected]

Dl Neuro_papers ⭐ 23

Collection of resources dealing with convergence of DL and neuro

Human Computer Interaction ⭐ 23

国科大人机交互大作业：多模态情感识别

Cnn Mi Bci ⭐ 21

CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")

P300 Speller ⭐ 18

A BCI speller based on P300 detection using a 1D CNN architecture.

Multi Task Cnn Eeg Emotion ⭐ 17

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

Eeg Self Supervision ⭐ 15

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

Eeg_mi_dl ⭐ 15

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).

Detrtime ⭐ 14

DETRtime, a framework for time-series segmentation

CNN classifier to classify MI-EEG signals

Microsleep Detection ⭐ 11

Code for microsleep (drowsiness) detection in EEG data

Bci_mi_wavelet_cnn ⭐ 10

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

Bsc Thesis Project ⭐ 9

A Deep Learning Based approach for diagnosis of Schizophrenia using EEG brain recordings

Eeg Emotion Recognition ⭐ 8

This is a final project for my 2019 Winter course "Pattern Recognition".

Seizureprediction ⭐ 8

A CNN + LSTM architecture to predict seizure from EEG data

Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"

Snn Seizure Prediction ⭐ 6

Predict seizures from EEGs using two models of spiking neural networks

Eegwavenet ⭐ 6

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

Biomedical Imaging ⭐ 5

Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection

Gcn_for_eeg ⭐ 5

Graph Convolutional Networks for 4-class EEG Classification

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