dyq0811 / EEG-Transformer-seq2seqLinks
Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media Lab.
☆58Updated 5 years ago
Alternatives and similar repositories for EEG-Transformer-seq2seq
Users that are interested in EEG-Transformer-seq2seq are comparing it to the libraries listed below
Sorting:
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆84Updated 8 months ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Updated 2 months ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆57Updated 4 years ago
- EEG emotion recognition based on Temporal convolutional network☆25Updated 6 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆47Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆54Updated 5 years ago
- U-Time: A Fully Convolutional Network for Time Series Segmentation☆297Updated 5 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Updated 5 years ago
- Do not sleep on traditional machine learning for sleep stage scoring☆52Updated 2 years ago
- ☆21Updated 3 weeks ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆13Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.☆53Updated 2 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆22Updated 3 years ago
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation☆82Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 5 years ago
- Transfer learning for sleep stage detection☆35Updated 4 years ago
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76Updated 3 years ago
- PyTorch implementation of TSception☆84Updated 2 years ago
- ☆38Updated 4 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆48Updated 2 years ago