CECNL / MAttLinks
☆70Updated 2 years ago
Alternatives and similar repositories for MAtt
Users that are interested in MAtt are comparing it to the libraries listed below
Sorting:
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated last week
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Updated 3 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Updated 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
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 4 years ago
- ☆27Updated last year
- ☆38Updated 4 years ago
- Matlab code for SBLEST algorithm☆44Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆25Updated last year
- Deep Learning pipeline for motor-imagery classification.☆64Updated 4 years ago
- code for LMDA☆87Updated 2 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆54Updated 2 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆61Updated 3 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆22Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 9 months ago
- ☆48Updated 3 months ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆177Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆29Updated 8 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18Updated 3 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆15Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆30Updated 2 years ago
- ☆46Updated 10 months ago
- ☆43Updated last year
- ☆40Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆101Updated 6 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Updated 2 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆15Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago