PupilEver / eegdataset
Public EEG Dataset
☆14Updated 3 years ago
Alternatives and similar repositories for eegdataset:
Users that are interested in eegdataset are comparing it to the libraries listed below
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- EEG 脑电 数据集 DEAP SEED☆25Updated 2 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆65Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆14Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆46Updated 2 weeks ago
- code for LMDA☆79Updated last year
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 9 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆67Updated 4 months ago
- ☆10Updated 2 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- ☆30Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 4 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 6 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆116Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆10Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 2 years 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☆25Updated 2 years ago