ufvceiec / EEGRAPHView external linksLinks
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
☆161Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for EEGRAPH
Users that are interested in EEGRAPH are comparing it to the libraries listed below
Sorting:
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Jun 15, 2021Updated 4 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆184Oct 8, 2022Updated 3 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆87Sep 24, 2020Updated 5 years ago
- ☆182Nov 3, 2022Updated 3 years ago
- ☆13Sep 5, 2023Updated 2 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Mar 1, 2021Updated 4 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆214Oct 25, 2020Updated 5 years ago
- Connectivity algorithms that leverage the MNE-Python API.☆86Feb 5, 2026Updated last week
- ☆20Mar 25, 2025Updated 10 months ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,135Jul 20, 2025Updated 6 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Nov 21, 2022Updated 3 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,154Feb 6, 2026Updated last week
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Oct 27, 2022Updated 3 years ago
- A framework for simplying BCI workflow in clinical applications☆22Updated this week
- Automatic labeling of ICA components in Python.☆116Updated this week
- Covariance Data Frames for Predictive M/EEG Pipelines☆33Mar 5, 2024Updated last year
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆23Jun 7, 2022Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- A library with tools for EEG analysis☆69Oct 30, 2025Updated 3 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆692Jul 24, 2024Updated last year
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆12Feb 4, 2026Updated last week
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Oct 25, 2021Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆118May 3, 2023Updated 2 years ago
- EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.☆32Feb 12, 2025Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Dec 18, 2022Updated 3 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆67Nov 10, 2023Updated 2 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆63Dec 5, 2020Updated 5 years ago
- This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal cl…☆1,464May 2, 2022Updated 3 years ago
- Graph analysis of resting state eeg data using MNE and Networkx☆19Jun 4, 2018Updated 7 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆30Sep 29, 2020Updated 5 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194May 10, 2025Updated 9 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Nov 25, 2023Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆547Nov 9, 2025Updated 3 months ago
- Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021☆30May 30, 2022Updated 3 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆330Mar 23, 2023Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Oct 6, 2022Updated 3 years ago
- MNELAB – a GUI for MNE-Python☆280Updated this week