the implementation of the ASAD_DenseNet
☆29Mar 24, 2025Updated 11 months ago
Alternatives and similar repositories for ASAD_DenseNet
Users that are interested in ASAD_DenseNet are comparing it to the libraries listed below
Sorting:
- This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attentio…☆10Sep 15, 2021Updated 4 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆15May 10, 2023Updated 2 years ago
- Code to implement the model of No.2 in Task 1 of the Auditory EEG Challenge (ICASSP 2024)☆12Jan 29, 2024Updated 2 years ago
- Pytorch/Python implementation of the joint CNN-LSTM deep learning model☆24Aug 3, 2021Updated 4 years ago
- ☆34Nov 30, 2023Updated 2 years ago
- ☆102Nov 14, 2024Updated last year
- ☆19Dec 4, 2025Updated 2 months ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆53Mar 21, 2024Updated last year
- This project is the code of BF-GCN. The paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems.☆22Jul 2, 2024Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆127Sep 5, 2023Updated 2 years ago
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆24Oct 19, 2022Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Jun 21, 2023Updated 2 years ago
- DBPNet model☆45Dec 13, 2024Updated last year
- ecg processing 剔除错误数据 校正基线漂移 分割平均波 定位轴☆15Jun 28, 2022Updated 3 years ago
- ☆11May 20, 2023Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆118May 3, 2023Updated 2 years ago
- ☆12May 16, 2021Updated 4 years ago
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated last year
- This is the code for the WASPAA 2021 paper "Blind Room Parameter Estimation Using Multiple Multichannel Speech Recordings☆17Nov 9, 2022Updated 3 years ago
- ☆13Dec 5, 2023Updated 2 years ago
- SEEG Project☆16Dec 14, 2020Updated 5 years ago
- Official code for ECG-TCN paper accepted for publication on AICAS2021☆14Aug 20, 2021Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆76Apr 30, 2024Updated last year
- The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch☆22Nov 24, 2024Updated last year
- This project uses deep regression and generative models to reconstruct music from brain responses as participants passively listen to ful…☆18Apr 7, 2025Updated 10 months ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Jun 5, 2023Updated 2 years ago
- ☆42Sep 13, 2023Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆162Oct 25, 2023Updated 2 years ago
- ☆20Mar 25, 2025Updated 11 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Jan 10, 2026Updated last month
- ☆53Sep 20, 2024Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Apr 7, 2022Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Aug 1, 2023Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Jun 15, 2021Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆90May 26, 2022Updated 3 years ago
- code for LMDA☆88Jul 14, 2023Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆141Jul 20, 2021Updated 4 years ago
- NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural …☆49Aug 7, 2024Updated last year