SuperBruceJia / EEG-BayesianCNN
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
☆30Updated 4 years ago
Alternatives and similar repositories for EEG-BayesianCNN:
Users that are interested in EEG-BayesianCNN are comparing it to the libraries listed below
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆45Updated 4 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
- GCN with MNE input and preprocessing☆10Updated 4 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- A general matlab framework for EEG data classification☆49Updated 7 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 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)…☆50Updated 4 years ago
- ☆33Updated 4 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 8 months ago
- SEEG Project☆15Updated 4 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 5 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 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;☆11Updated 3 years ago
- ☆28Updated 6 years ago
- Implementation of EEG signal classification.☆50Updated 8 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated last year
- ☆20Updated 2 years ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆42Updated 6 years ago
- ☆21Updated last week
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Updated 3 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆69Updated 2 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.☆22Updated last year