hubandad / eeg-datasetLinks
Public EEG Dataset
☆59Updated 2 years ago
Alternatives and similar repositories for eeg-dataset
Users that are interested in eeg-dataset are comparing it to the libraries listed below
Sorting:
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated last year
- ☆70Updated 3 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 3 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- code for LMDA☆84Updated 2 years ago
- DDGCNN for ssvep☆15Updated last year
- Matlab code for SBLEST algorithm☆43Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆135Updated last year
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆183Updated 10 months ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆77Updated 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…☆204Updated 2 years ago
- ☆63Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆60Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆22Updated 2 months ago
- ☆36Updated 5 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆272Updated 5 months ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year
- Deep Learning with EEG.☆21Updated 9 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆30Updated 5 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- ☆38Updated 3 weeks ago