emadeldeen24 / AttnSleep
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
☆210Updated last year
Alternatives and similar repositories for AttnSleep:
Users that are interested in AttnSleep are comparing it to the libraries listed below
- Attention temporal convolutional network for EEG-based motor imagery classification☆215Updated 2 months ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆77Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆44Updated last year
- ☆23Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆131Updated last year
- This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems …☆54Updated 8 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆62Updated 6 months ago
- code for LMDA☆70Updated last year
- ☆75Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆166Updated 2 months ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆156Updated 4 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆165Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆280Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆28Updated 3 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆58Updated 7 years ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 5 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆101Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆58Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆44Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆100Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆51Updated last year
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆16Updated 3 weeks ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆17Updated 3 years ago
- ☆130Updated 2 years ago