Alternatives and similar repositories for EEG-depression-recognition-GTSAN:

Users that are interested in EEG-depression-recognition-GTSAN are comparing it to the libraries listed below

• anant0301 / EEG-Capsule-Net
  Using Capsule Network for EEG emotion classification using Digit-Caps model
  ☆10Updated last year
• xujiayang530 / DGCNN
  pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
  ☆89Updated last year
• vsjadhav / SEED_emotion_recognition_with_transfer_learning
  EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V
  ☆32Updated last year
• gzoumpourlis / DEAP_MNE_preprocessing
  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
  ☆65Updated 2 years ago
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆54Updated 3 years ago
• xueyunlong12589 / DGCNN
  Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch
  ☆104Updated last year
• monshri / depression_identification
  A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks
  ☆20Updated 4 years ago
• renhong-zhang / eeg-emotion-recognition-with-vit
  Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.
  ☆61Updated 2 years ago
• CodeStoreHub / EEG-datasets
  EEG 脑电 数据集 DEAP SEED
  ☆22Updated last month
• Meltemi-Q / eeg-emotion-recognition-domain-subject-adaptation
  EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset
  ☆38Updated 5 years ago
• Jinminbox / PGCN
  PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
  ☆55Updated 11 months ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆70Updated 2 years ago
• kanhaoning / Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition
  ☆30Updated last year
• martinwimpff / channel-attention
  ☆32Updated 10 months ago
• lwlBCI / EEG-MI-ATCNet
  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
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆78Updated last year
• EdgarMoyete / EEG-Classification-with-CNN
  Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…
  ☆47Updated 2 years ago
• HYQHUANGYUNQI / Enhanced-Capsule-Network-for-Emotion-Recognition
  This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion reco…
  ☆10Updated last year
• yi-ding-cs / LGG
  [TNNLS-2023] This is the PyTorch implementation of LGGNet.
  ☆104Updated last year
• ispamm / MHyEEG
  Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.
  ☆59Updated last year
• yi-ding-cs / TSception
  [TAFFC-2022] PyTorch implementation of TSception v2
  ☆112Updated last year
• Abhishek-Iyer1 / emotion-classifcation-eeg-seed-ensemble
  Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
  ☆71Updated 3 years ago
• TimeSpacerRob / FBSTCNet
  This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.
  ☆17Updated 3 months ago
• tuengominh / deap-eeg-classification
  EEG-based emotion classification using DEAP dataset
  ☆131Updated 2 years ago
• luisevogt / Emotion-Recognition-from-EEG-Data-with-Time-Series-Transformers
  My master thesis about emotion recognition from EEG data with a time series transformer
  ☆21Updated last year
• vipulSharma18 / Automatic-Emotion-Recognition-on-DEAP-Dataset
  The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…
  ☆48Updated 2 years ago
• ManTouCIBR / CNN-training-testing-templates-for-processing-EEG-signals
  A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…
  ☆20Updated 11 months ago
• weilheim / EEG
  PyTorch EEG emotion analysis using DEAP dataset
  ☆80Updated 7 years ago
• tczhangzhi / PyTorch-ESCGAN
  The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…
  ☆25Updated last year
• JoeBao22 / eeg_seed_test
  The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…
  ☆52Updated 2 years ago