master / tensorflow-riemoptLinks
A library for optimization on Riemannian manifolds
☆112Updated last week
Alternatives and similar repositories for tensorflow-riemopt
Users that are interested in tensorflow-riemopt are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆273Updated 2 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆76Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- B-Spline CNNs on Lie groups☆56Updated 5 years ago
- ☆64Updated 2 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- ☆105Updated 4 years ago
- ☆37Updated 5 years ago
- A manifold optimization library for deep learning☆250Updated 4 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 3 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Convex potential flows☆84Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆49Updated 8 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- Large-scale, multi-GPU capable, kernel solver☆196Updated 5 months ago
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- ☆70Updated 2 years ago
- ☆22Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago