GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
☆67Jun 5, 2021Updated 5 years ago
Alternatives and similar repositories for SPDNet
Users that are interested in SPDNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Deep SPDNet in pytorch☆71Sep 23, 2023Updated 2 years ago
- Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices☆10Jun 17, 2017Updated 9 years ago
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Nov 2, 2022Updated 3 years ago
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆11Mar 11, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Sep 12, 2020Updated 5 years ago
- Four commonly used operations on the symmetric positive definite manifold☆29Jul 8, 2022Updated 4 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆16Dec 10, 2020Updated 5 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆64Oct 12, 2022Updated 3 years ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 5 years ago
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆15Feb 5, 2025Updated last year
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Mar 8, 2019Updated 7 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆25Sep 22, 2022Updated 3 years ago
- ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"☆20Feb 4, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python code for the Riemannian Procrustes Analysis (RPA) method☆53Jan 31, 2024Updated 2 years ago
- resources related to papers☆15Mar 17, 2026Updated 3 months ago
- code for NeurIPS_competition☆28Jan 19, 2022Updated 4 years ago
- ☆12May 25, 2023Updated 3 years ago
- Repository for the SPDTransNet model, a Transformer-based architecture to analyze sequences of SPD matrices without loss of their Riemann…☆38Oct 15, 2024Updated last year
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆21Mar 2, 2025Updated last year
- A library for optimization on Riemannian manifolds☆110Dec 27, 2025Updated 6 months ago
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated last year
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Jan 5, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official implementation of the paper: "Hyperbolic Graph Diffusion Model"☆14Jun 22, 2024Updated 2 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆17Mar 15, 2022Updated 4 years ago
- MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"☆10Oct 14, 2018Updated 7 years ago
- Benchmark for Brain Computer Interface methods☆19Feb 1, 2025Updated last year
- Gradual Source Domain Expansion for Unsupervised Domain Adaptation☆14Jun 10, 2025Updated last year
- The ETH-80 dataset [1] contains visual object images from 8 different categories including apples, cars, cows,cups, dogs, horses, pears a…☆15Aug 27, 2020Updated 5 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- Manopt, a Matlab toolbox for optimization on manifolds☆390Mar 3, 2026Updated 4 months ago
- A Julia package for manipulating data in the Riemannian Manifold of Positive Definite Matrices☆29Jun 22, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"☆15Jul 4, 2023Updated 3 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- ☆76Aug 30, 2023Updated 2 years ago
- Chinese plate detection（基于YOLOv3的中文车牌检测）☆11Mar 8, 2021Updated 5 years ago
- ☆15May 29, 2023Updated 3 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆903Jun 2, 2025Updated last year
- Covariance toolbox for matlab, including riemannian geometry☆120Jun 30, 2016Updated 10 years ago