master / tensorflow-riemoptLinks
A library for optimization on Riemannian manifolds
☆112Updated 5 months ago
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)☆121Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 5 months ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆73Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- ☆273Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- B-Spline CNNs on Lie groups☆55Updated 5 years ago
- A manifold optimization library for deep learning☆249Updated 4 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆59Updated 4 years ago
- Large-scale, multi-GPU capable, kernel solver☆191Updated 2 months ago
- ☆103Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- ☆62Updated 2 years ago
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.☆43Updated 5 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 3 years ago
- ☆22Updated 3 years ago
- ☆70Updated 2 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- A library for programmatically generating equivariant layers through constraint solving☆276Updated 2 years ago
- Geometric kernels on manifolds, meshes and graphs☆272Updated last week
- Riemannian Optimization Using JAX☆53Updated last year
- ☆37Updated 5 years ago