redevaaa / Transformer-for-EEG
modify self-attention model for EEG signal as input and image embedding layer as output
☆100Updated 5 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
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆124Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 6 months ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆286Updated 2 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆229Updated this week
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆168Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆113Updated last year
- code for LMDA☆77Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 5 years ago
- ☆129Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 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…☆182Updated last year
- ☆76Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆68Updated 7 months ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆222Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆41Updated 4 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆67Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 8 months ago
- Hands-on tutorial on deep learning for EEG classification.☆71Updated 10 months ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆171Updated 3 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆93Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆53Updated 2 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆111Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆216Updated 10 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆63Updated last year