master / tensorflow-riemopt
A library for optimization on Riemannian manifolds
☆110Updated this week
Alternatives and similar repositories for tensorflow-riemopt:
Users that are interested in tensorflow-riemopt are comparing it to the libraries listed below
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆38Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆49Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆19Updated 3 years ago
- ☆269Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.☆42Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆115Updated 3 weeks ago
- ☆63Updated last year
- ☆53Updated 9 months ago
- Spatio-temporal alignements: Optimal transport in space and time☆45Updated last week
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 2 months ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 8 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 10 months ago
- Quantify geometric intelligence in natural and artificial brains.☆50Updated 5 months ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago