JinY97 / GCTNetLinks
☆17Updated last year
Alternatives and similar repositories for GCTNet
Users that are interested in GCTNet are comparing it to the libraries listed below
Sorting:
- code for LMDA☆85Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆75Updated last month
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆48Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆27Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 8 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆29Updated 6 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- ☆86Updated 4 years ago
- ☆23Updated 2 years ago
- ☆21Updated 2 years ago
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆220Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆290Updated 2 months ago
- ☆13Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆46Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆96Updated 5 months ago
- ☆40Updated 2 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆98Updated 2 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆50Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- ☆68Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆120Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆169Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆14Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆189Updated 6 months ago
- using unet to reconstruct signal☆39Updated 2 years ago