ufvceiec / EEGRAPHLinks
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
☆151Updated last year
Alternatives and similar repositories for EEGRAPH
Users that are interested in EEGRAPH are comparing it to the libraries listed below
Sorting:
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆179Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆81Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆37Updated 2 years ago
- ☆44Updated 6 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 9 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- ☆173Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆93Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- DDGCNN for ssvep☆15Updated last year
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 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
- LSTM-based neural network system to predict EEG signals☆29Updated 6 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- implementation of FBCSP algorithm☆26Updated 6 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆62Updated last year
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆45Updated last year
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- Pytorch implementation of EEGNet.☆48Updated 2 years ago