This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
☆38Oct 12, 2018Updated 7 years ago
Alternatives and similar repositories for SPDNet
Users that are interested in SPDNet are comparing it to the libraries listed below
Sorting:
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆64Jun 5, 2021Updated 4 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 6 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
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Dec 10, 2020Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆23Feb 4, 2024Updated 2 years ago
- Four commonly used operations on the symmetric positive definite manifold☆29Jul 8, 2022Updated 3 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆16Mar 15, 2022Updated 3 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Sep 12, 2020Updated 5 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Jan 10, 2026Updated last month
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated last year
- ☆29Dec 4, 2024Updated last year
- Riemannian Geometry-Based Spatial Filtering (RSF)☆16Jun 22, 2025Updated 8 months ago
- The source code for the paper: Yirong Mao, Ruiping Wang, Shiguang Shan, Xilin Chen. COSONet: Compact Second-Order Network for Video Face …☆12Dec 27, 2018Updated 7 years ago
- Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices☆10Jun 17, 2017Updated 8 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆10Mar 11, 2024Updated last year
- ☆72Aug 30, 2023Updated 2 years ago
- Interactive notebook introducing the matrix exponential and matrix Lie groups, from the Quantum Formalism lecture series.☆12Apr 17, 2025Updated 10 months ago
- ☆17Mar 30, 2025Updated 11 months ago
- How EEG preprocessing shapes decoding performance☆17Jul 11, 2025Updated 7 months ago
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆15Feb 5, 2025Updated last year
- Causal decomposition analysis☆13Apr 17, 2022Updated 3 years ago
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆17Jan 1, 2025Updated last year
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Feb 18, 2022Updated 4 years ago
- Experiments on Self-Supervised Learning on EEG data☆19Jun 20, 2020Updated 5 years ago
- Repository for the SPDTransNet model, a Transformer-based architecture to analyze sequences of SPD matrices without loss of their Riemann…☆35Oct 15, 2024Updated last year
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆23Jun 3, 2024Updated last year
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated last year
- The PyTorch 1.6 and Python 3.7 implementation for the paper Semi-Supervised Classification with Graph Convolutional Networks☆16Oct 7, 2020Updated 5 years ago
- Benchmark for Brain Computer Interface methods☆19Feb 1, 2025Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Jul 5, 2024Updated last year
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20May 13, 2019Updated 6 years ago
- ☆27Jul 18, 2024Updated last year
- SOTA methods for performing emotion classification using Transformers.☆21Oct 6, 2022Updated 3 years ago
- deepmeg recurrent encoder☆25Jun 22, 2022Updated 3 years ago
- Pretrained decoders for intracortical BCI.☆29Jan 26, 2026Updated last month
- This project contains the code for a deep learning architecture to analyze EEG data.☆58Feb 17, 2025Updated last year
- Domain Adaptation benchmark☆27Dec 20, 2024Updated last year