KAZABANA / EEGMatchLinks
☆41Updated 11 months ago
Alternatives and similar repositories for EEGMatch
Users that are interested in EEGMatch are comparing it to the libraries listed below
Sorting:
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆56Updated last month
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆65Updated 5 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆45Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆79Updated 2 months ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆13Updated 2 years ago
- ☆32Updated 2 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆103Updated 3 weeks ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆94Updated 4 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆81Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆24Updated last year
- ☆68Updated 2 years ago
- ☆98Updated last year
- ☆18Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆83Updated 3 years ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- SOTA methods for performing emotion classification using Transformers.☆21Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆23Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆37Updated 3 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆18Updated 2 years ago
- ☆40Updated last month
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆43Updated 10 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆73Updated last month
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆17Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago
- [tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.☆27Updated 11 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆164Updated last year