kanhaoning / Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognitionLinks
☆32Updated 2 years ago
Alternatives and similar repositories for Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition
Users that are interested in Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition are comparing it to the libraries listed below
Sorting:
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆81Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 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
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆37Updated 3 months 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
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆45Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆51Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆65Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆79Updated 2 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- 硕士期间课题研究记录☆17Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆43Updated 6 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- Emotion recognition base on EEG.☆19Updated 2 years ago
- ☆21Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆56Updated last month
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆136Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 2 years ago
- ☆20Updated 5 years ago
- ☆41Updated 11 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆28Updated 6 months ago