Alternatives and similar repositories for EEGpro

Users that are interested in EEGpro are comparing it to the libraries listed below

• zerozzl / eeg_emotion_recognition
  脑电情绪识别
  ☆12Updated 2 years ago
• EdgarMoyete / Preprocesamiento-BCI-IV-2a
  Preprocesamiento de BCI Competition IV data set 2a
  ☆11Updated 4 years ago
• yezi0511 / SEED-Emotion-Recognition
  在 SEED 数据集上做 EEG 情绪识别
  ☆112Updated 4 years ago
• dunhuiliu / EEG_emotion_recognition
  硕士期间课题研究记录
  ☆17Updated 2 years ago
• abhijithrb / SeizurePrediction
  A CNN + LSTM architecture to predict seizure from EEG data
  ☆47Updated 2 years ago
• aleksandradura / EEGSignals
  Feature selection for DEAP data
  ☆8Updated 3 years ago
• Abhishek-Iyer1 / emotion-classifcation-eeg-seed-ensemble
  Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
  ☆77Updated 3 years ago
• JoeBao22 / eeg_seed_test
  The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…
  ☆56Updated 2 years ago
• ziyujia / SST-EmotionNet
  SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
  ☆133Updated 4 years ago
• anthonyesp / channel_selection
  Some studies regarding the selection of optimal channels in a BCI based on motor imagery
  ☆13Updated last year
• Song-zhenzhen / EEG_emotion_classification_use_CNN-and-RNN
  ☆36Updated 6 years ago
• mwrazam / fatigue-detection-eeg
  Classification of Fatigue in Consumer-grade EEG Using Entropies as Features
  ☆17Updated 4 years ago
• X-X-Y / SVM_CSP_EEG
  基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo
  ☆11Updated 3 years 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
  ☆27Updated 2 years ago
• renhong-zhang / eeg-emotion-recognition-with-vit
  Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.
  ☆67Updated 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 2 years ago
• 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…
  ☆54Updated 2 years ago
• mkfzdmr / Deep-Learning-based-Emotion-Recognition
  Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
  ☆48Updated 4 years ago
• xujiayang530 / DGCNN
  pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
  ☆93Updated 2 years ago
• rasoulghaznavi / MLSEED
  Emotion Recognition using ML methods on the SEED dataset
  ☆20Updated 5 years ago
• BUVANEASH / EEG-Motor-Imagery-Classification---ANN
  Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction
  ☆83Updated 3 years ago
• zzx-JLU / ECLGCNN
  ECLGCNN is an emotion recognition method based on EEG data.
  ☆19Updated 2 years ago
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆53Updated 4 years ago
• dolphin-in-a-coma / multi-task-cnn-eeg-emotion
  Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…
  ☆58Updated 2 years ago
• 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
• Pengyuloo / EEG_emotion_recognition
  Using CNN-LSTM for emotion recognition based on EEG signals
  ☆11Updated 2 years ago
• tju-sun-lab / EEG-ARNN
  Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …
  ☆19Updated 2 years ago
• hi-akshat / Emotion-Recogniton-from-EEG-Signals
  Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…
  ☆87Updated 5 years ago
• gzoumpourlis / DEAP_MNE_preprocessing
  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
  ☆76Updated 3 years ago
• Meltemi-Q / eeg-emotion-recognition-domain-subject-adaptation
  EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset
  ☆40Updated 6 years ago