SuperBruceJia / EEG-BayesianCNN
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
☆29Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-BayesianCNN
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆40Updated last year
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆42Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- ☆21Updated this week
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆22Updated 2 years ago
- SEEG Project☆14Updated 3 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 4 years ago
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆9Updated 2 years ago
- EEG Signal Processing - Entropy☆16Updated 4 years ago
- ☆27Updated 6 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆12Updated 2 years ago
- EEGNet implementation of 2 BCI competition datasets☆33Updated 5 years ago
- ☆16Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆36Updated 4 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 5 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆64Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆43Updated 11 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆74Updated 3 years ago
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14Updated 4 years ago
- Implementation of EEG signal classification.☆48Updated 8 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆36Updated last year
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆16Updated 4 years ago
- seizure type classification using TUH dataset☆64Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆46Updated 2 years ago
- ☆35Updated 6 years ago