plazadeloslagartos / eigentorchLinks
Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Network for SPD Matrix Learning, 2036–2042. https://doi.org/10.1109/CVPR.2014.132
☆12Updated 6 years ago
Alternatives and similar repositories for eigentorch
Users that are interested in eigentorch are comparing it to the libraries listed below
Sorting:
- resources related to papers☆13Updated last month
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆21Updated last year
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆17Updated 3 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆56Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 5 months ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- Optimisation on Diffeomorphisms☆12Updated 7 months ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 3 months ago
- ☆48Updated last year
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 4 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆17Updated 2 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 4 years ago
- Implementation of LDMnet in pytorch☆22Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆40Updated 3 months ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆49Updated 4 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- ☆32Updated 3 years ago
- L1-regularized least squares with PyTorch☆68Updated 2 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated 3 months ago