Implementation of Deep SPDNet in pytorch
☆72Sep 23, 2023Updated 2 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 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
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆66Jun 5, 2021Updated 4 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Oct 12, 2018Updated 7 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Feb 18, 2022Updated 4 years ago
- ☆76Aug 30, 2023Updated 2 years ago
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆10Mar 11, 2024Updated 2 years ago
- 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
- 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
- How EEG preprocessing shapes decoding performance☆17Jul 11, 2025Updated 9 months ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion☆18Dec 14, 2025Updated 4 months ago
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆12May 28, 2022Updated 3 years 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.
- 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
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆24Feb 4, 2024Updated 2 years ago
- ☆17Dec 16, 2024Updated last year
- 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
- Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python☆758Updated this week
- ☆30Dec 4, 2024Updated last year
- ☆12May 25, 2023Updated 2 years ago
- Four commonly used operations on the symmetric positive definite manifold☆29Jul 8, 2022Updated 3 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.
- A library for optimization on Riemannian manifolds☆113Dec 27, 2025Updated 4 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆86Jan 10, 2026Updated 3 months ago
- @ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different fr…☆77Jan 18, 2019Updated 7 years ago
- ☆13Nov 7, 2025Updated 5 months ago
- Code for Statistically-motivated Second-order Pooling, ECCV2018☆34Nov 13, 2018Updated 7 years ago
- Operations for CNN on manifolds.☆14Mar 19, 2021Updated 5 years ago
- ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"☆20Feb 4, 2023Updated 3 years ago
- This repo contains papers, books, tutorials and resources on Riemannian deep learning.☆65Mar 10, 2026Updated last month
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 4 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.
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆24Aug 3, 2023Updated 2 years ago
- Source code for self-supervised EEG data transfer learning☆15Feb 9, 2022Updated 4 years ago
- Pretrained decoders for intracortical BCI.☆33Jan 26, 2026Updated 3 months ago
- ☆22Oct 29, 2019Updated 6 years ago
- Interactive notebook introducing the matrix exponential and matrix Lie groups, from the Quantum Formalism lecture series.☆12Apr 17, 2025Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆37Apr 22, 2025Updated last year
- [CVPR'25] AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data☆17Mar 27, 2025Updated last year