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☆86Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆143Updated 2 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
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆27Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 7 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆297Updated 3 weeks ago
- ☆87Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆48Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 5 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆50Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆99Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆259Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- ☆13Updated 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
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆226Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆144Updated 2 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆52Updated 2 years ago
- ☆15Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆82Updated last year
- Pytorch implementation of EEGNet.☆50Updated 3 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 8 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆99Updated 5 months ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 7 months ago
- ☆21Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- ☆23Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆33Updated last year