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:
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆39Oct 12, 2018Updated 7 years ago
- Implementation of Deep SPDNet in pytorch☆72Sep 23, 2023Updated 2 years ago
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆12May 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
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Sep 12, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Four commonly used operations on the symmetric positive definite manifold☆29Jul 8, 2022Updated 3 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Feb 18, 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
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Apr 18, 2023Updated 3 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 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
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- resources related to papers☆14Mar 17, 2026Updated 3 months 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
- A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.☆34Sep 3, 2020Updated 5 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated last year
- GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion (Information Fusion 2026)☆20May 29, 2026Updated 2 weeks ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- ☆22Mar 30, 2023Updated 3 years ago
- Official implementation of the paper: "Hyperbolic Graph Diffusion Model"☆14Jun 22, 2024Updated last year
- 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.
- MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"☆10Oct 14, 2018Updated 7 years ago
- Gradual Source Domain Expansion for Unsupervised Domain Adaptation☆14Jun 10, 2025Updated last year
- Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python☆764Jun 4, 2026Updated 2 weeks ago
- 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☆388Mar 3, 2026Updated 3 months ago
- ☆11May 15, 2019Updated 7 years ago
- A Julia package for manipulating data in the Riemannian Manifold of Positive Definite Matrices☆29Apr 20, 2026Updated last month
- Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"☆15Jul 4, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- ☆14Jan 14, 2025Updated last year
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆899Jun 2, 2025Updated last year
- Emergent property inference.☆11Jul 6, 2023Updated 2 years ago
- ☆19Jun 5, 2024Updated 2 years ago
- Covariance Data Frames for Predictive M/EEG Pipelines☆35Mar 30, 2026Updated 2 months ago