githubtest957

githubtest957

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braindecode

Outdated, see new https://github.com/braindecode/braindecode

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EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

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EEG-Datasets

A list of all public EEG-datasets

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Emotion-detection-from-EEG

KNN classifier for human emotion from EEG

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emotion-recognition

EEG-based emotion recognition framework including an eye tracking sequence classifier and a WGAN model

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Emotion-Recognition-1

Emotion recognition from EEG and physiological signals using deep neural networks

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EmotionClassifier

Emotion classifer based on EEG singnals

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JDA

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity

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MLSEED

Emotion Recognition using ML methods on the SEED dataset

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Multi-souce-Separation-and-Alignment-Network-for-EEG-Emotion-Classification

Transfer learning for multi source EEG-emotion-classification

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semiMVAE

Semi-supervised Multi-view Variational Autoencoder (semiMVAE)

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Style-Transfer-Mapping

Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition

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TSception

PyTorch implementation of TSception

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