Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

An Autonomous LLM Agent for Complex Task Solving

halocon芯片缺陷检测

Scratch Detection Assignment for a student position in the data science team at NI

Framework for drowsiness detection in driving scenarios using Brain-Computer Interfaces

EOG Event Recognizer Tool

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

InceptionTime: Finding AlexNet for Time Series Classification

This code is for the paper "EEG emotion recognition using attention-based Convolutional Transformer neural network".

EEG-signal Based Emotion Recognition via Deep Learning

A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.

Deap dataset based affective analysis

ECLGCNN is an emotion recognition method based on EEG data.

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neutral and negative. It uses SEED dataset which consist of EEG…

Emotion recognition base on EEG.

pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch

The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalography(EEG).

Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity

This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.

在 SEED 数据集上做 EEG 情绪识别

This is a group project for university where it takes in the dataset with initial classification, it uses machine learning and using ensembling techiques, predict the classification using the data …