yi-ding-cs / EmT
This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.
☆24Updated 2 months ago
Alternatives and similar repositories for EmT:
Users that are interested in EmT are comparing it to the libraries listed below
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆22Updated 10 months ago
- ☆67Updated 2 months ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆37Updated 7 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆23Updated last year
- ACM MM 2023☆38Updated 2 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆15Updated last year
- ☆29Updated 7 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆25Updated last year
- code for LMDA☆70Updated last year
- ☆18Updated last month
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆28Updated 2 weeks ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆64Updated 2 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆38Updated 6 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- ☆19Updated last month
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆57Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated last month
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆73Updated last year
- ☆31Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆50Updated last month
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆39Updated last month
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆94Updated last year
- EEG-Based Emotion Recognition☆48Updated 7 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 3 months ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆47Updated this week
- Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.☆51Updated 10 months ago
- ☆12Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 8 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago