ethorsrud / MasterLinks
☆19Updated 5 years ago
Alternatives and similar repositories for Master
Users that are interested in Master are comparing it to the libraries listed below
Sorting:
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 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
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 6 months ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 11 months ago
- code for LMDA☆80Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆163Updated 5 years ago
- Python implemementation of the FBCSP algorithm☆32Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- ☆22Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- ☆82Updated 3 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- ☆32Updated 10 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆71Updated 3 years ago
- ☆20Updated last year
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 5 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆15Updated 3 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆20Updated last year
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 2 years ago
- ☆16Updated 7 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 3 weeks ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 3 years ago
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆56Updated last year