GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.
☆26Jun 5, 2021Updated 5 years ago
Alternatives and similar repositories for GrNet
Users that are interested in GrNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Operations for CNN on manifolds.☆14Mar 19, 2021Updated 5 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
- Implementation of Deep SPDNet in pytorch☆71Sep 23, 2023Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 years ago
- ☆14Nov 7, 2025Updated 8 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
- GitHub repository for "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.☆65Jun 5, 2021Updated 5 years ago
- Ultrahyperbolic Representation Learning☆12Jul 5, 2020Updated 6 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆67Jun 5, 2021Updated 5 years ago
- GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion (Information Fusion 2026)☆21May 29, 2026Updated last month
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- Official implementation of the paper: "Hyperbolic Graph Diffusion Model"☆14Jun 22, 2024Updated 2 years ago
- Implementation of CPF clustering method.☆10Jun 14, 2026Updated 3 weeks ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆39Oct 12, 2018Updated 7 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.
- Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings☆31Feb 18, 2018Updated 8 years ago
- Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an …☆23Sep 23, 2022Updated 3 years ago
- This is the published codes for Dilated Convolutional Neural Networks for Sequential Manifold-valued Data ICCV 2019☆10May 16, 2021Updated 5 years ago
- Targeting EEG/LFP synchrony with neural nets☆17Mar 7, 2019Updated 7 years ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- pytorch version of "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.☆12Sep 26, 2019Updated 6 years ago
- ☆34Aug 14, 2020Updated 5 years ago
- sharing bootcamp contents☆13Apr 30, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation for the CVPR 2024 paper: HuProSO3: Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Hu…☆15Mar 31, 2025Updated last year
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆21Mar 2, 2025Updated last year
- The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019☆15Aug 20, 2021Updated 4 years ago
- A library for optimization on Riemannian manifolds☆110Dec 27, 2025Updated 6 months ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Nov 5, 2018Updated 7 years ago
- common-used datasets for clustering☆17Apr 30, 2025Updated last year
- Multibox object detection☆18Jan 9, 2017Updated 9 years ago
- Linear dynamical systems (aka Kalman filters)☆21May 20, 2021Updated 5 years ago
- [CVPR 2025] Multi-focal Conditioned Latent Diffusion for Person Image Synthesis☆23Mar 23, 2025Updated last year
- 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.
- 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
- Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"☆27Apr 24, 2023Updated 3 years ago
- Manifold aware pytorch layers☆13Apr 25, 2020Updated 6 years ago
- Riemannian approach to batch normalization☆18Nov 17, 2017Updated 8 years ago
- ☆23Jan 31, 2025Updated last year
- Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering☆15Dec 19, 2023Updated 2 years ago
- ☆10Feb 22, 2018Updated 8 years ago