CodeStoreHub / EEG-datasets
EEG 脑电 数据集 DEAP SEED
☆22Updated last month
Alternatives and similar repositories for EEG-datasets:
Users that are interested in EEG-datasets are comparing it to the libraries listed below
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆89Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆43Updated 5 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆61Updated 2 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
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 2 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆17Updated 3 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆39Updated 8 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆104Updated last year
- code for LMDA☆78Updated last year
- ☆30Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆65Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- ☆22Updated 4 months ago
- Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.☆59Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆103Updated last year
- ☆13Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆112Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆64Updated 3 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 6 months ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆52Updated 2 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆14Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- ☆15Updated last month
- 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☆24Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆19Updated 11 months ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago