redevaaa / Transformer-for-EEGLinks
modify self-attention model for EEG signal as input and image embedding layer as output
☆102Updated 6 years ago
Alternatives and similar repositories for Transformer-for-EEG
Users that are interested in Transformer-for-EEG are comparing it to the libraries listed below
Sorting:
- Deep Learning pipeline for motor-imagery classification.☆64Updated 3 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆261Updated 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…☆325Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆192Updated 7 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆143Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆100Updated 6 months ago
- ☆87Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆302Updated last month
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆184Updated 3 years ago
- Pytorch implementation of EEGNet.☆51Updated 3 years ago
- code for LMDA☆86Updated 2 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆225Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆172Updated 5 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 8 months ago
- ☆133Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆99Updated 6 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆116Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- seizure type classification using TUH dataset☆79Updated 3 months ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆125Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆163Updated 2 years ago
- PyTorch implementation of TSception☆84Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- ☆38Updated 4 years ago