tczhangzhi / PyTorch-ESCGAN
The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition".
☆25Updated last year
Alternatives and similar repositories for PyTorch-ESCGAN:
Users that are interested in PyTorch-ESCGAN are comparing it to the libraries listed below
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆15Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆35Updated this week
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- 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☆32Updated last year
- Emotion Recognition Transformer Network Based EEG Signals.☆18Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆28Updated 6 months ago
- ☆30Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 3 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆46Updated this week
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆64Updated 2 years ago
- ☆13Updated 2 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 9 months ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 4 months ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆12Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆90Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆52Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆112Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆104Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆53Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- ☆16Updated last month
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆41Updated 10 months ago
- Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.☆62Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆104Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆36Updated 3 months ago