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:
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆303Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆268Updated 3 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- Analysis of Transformer attention in EEG signal classification☆44Updated 10 months ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆238Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆179Updated 2 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆177Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆45Updated 7 months ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- code for LMDA☆81Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆106Updated 2 years ago
- ☆84Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 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…☆200Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 years ago
- ☆130Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆64Updated 5 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆76Updated 3 weeks ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆91Updated last month
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated this week
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆118Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆137Updated 6 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆132Updated 3 years ago