kanhaoning / Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition
☆30Updated last year
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
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆53Updated 10 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆88Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆31Updated last year
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆39Updated 8 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 5 months ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆17Updated 2 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆13Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆102Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- Emotion recognition base on EEG.☆16Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆40Updated 10 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆24Updated last year
- ☆32Updated 9 months ago
- ☆12Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆100Updated last year
- ☆16Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆52Updated last year
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆60Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 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…☆47Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆42Updated 4 months ago