CECNL / MAttLinks
☆65Updated last year
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.☆69Updated last month
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated 11 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- code for LMDA☆81Updated last year
- ☆20Updated 11 months ago
- ☆36Updated last year
- Matlab code for SBLEST algorithm☆43Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆57Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- ☆12Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆48Updated 3 weeks ago
- ☆24Updated 6 months 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 3 years ago
- ☆39Updated last month
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆133Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- ☆31Updated 7 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- ☆16Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- ☆38Updated 4 years ago
- This is a community implementation of EEG-ConvTransformer☆16Updated 2 years ago
- This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…☆22Updated 3 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 3 months ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆57Updated 2 months ago