CHEN-XDU / GMSS
This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
☆57Updated 2 years ago
Related projects: ⓘ
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆63Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆87Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆78Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆85Updated 11 months ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆31Updated 2 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆49Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆47Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆14Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆35Updated 4 months ago
- ☆24Updated 2 years ago
- code for LMDA☆58Updated last year
- ☆22Updated 3 months ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆110Updated 3 years ago
- ☆12Updated 2 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆52Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆11Updated 10 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 5 years ago
- ☆26Updated last year
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆17Updated 6 months ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆19Updated last year
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆37Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆72Updated 4 years ago
- ☆39Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆32Updated 11 months ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆112Updated 9 months ago
- The codes that I implemented during my B.Sc. project.☆20Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆55Updated 5 months ago
- ☆14Updated last year