GitWR / SymNetLinks
This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
☆15Updated 4 years ago
Alternatives and similar repositories for SymNet
Users that are interested in SymNet are comparing it to the libraries listed below
Sorting:
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 2 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆56Updated 4 years ago
- Self-supervised learning for EEG☆26Updated 5 years ago
- ☆66Updated 2 years ago
- [KBS 2025] Time-Frequency Transform Based Cross-Subject EEG Data Augmentation☆12Updated 2 months ago
- ☆12Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 2 years ago
- Implementation of Deep SPDNet in pytorch☆66Updated 2 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Updated 2 years ago
- ☆38Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆23Updated 4 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆46Updated 4 years ago
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆25Updated 5 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- ☆11Updated 6 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- Python codes for applying OTDA in MI-BCI☆10Updated 10 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆43Updated 2 years ago
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆14Updated 8 months ago
- Four commonly used operations on the symmetric positive definite manifold☆27Updated 3 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆22Updated 3 years ago
- ☆23Updated last year