zhiwu-huang / SPDNet
GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
☆50Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for SPDNet
- Implementation of Deep SPDNet in pytorch☆58Updated last year
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆34Updated 6 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆13Updated 2 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆12Updated 2 years ago
- Four commonly used operations on the symmetric positive definite manifold☆24Updated 2 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 3 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆16Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆46Updated 2 years ago
- Operations for CNN on manifolds.☆13Updated 3 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆39Updated last year
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆11Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆13Updated last year
- ☆54Updated last year
- Matlab code for SBLEST algorithm☆37Updated 8 months ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆21Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆42Updated 3 years ago
- PyTorch implementations of the beta divergence loss.☆9Updated 2 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆47Updated 9 months ago
- Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation☆14Updated last year
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆26Updated 6 months ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆11Updated 2 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆12Updated last year
- Self-supervised learning for EEG☆23Updated 4 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 2 years ago
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆34Updated 9 months ago
- ☆10Updated 2 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 5 years ago