Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
-
Updated
Apr 1, 2020 - Python
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
Implementation of Deep SPDNet in pytorch
Accepted in IEEE Transactions on Emerging Topics in Computational Intelligence
Algorithms for computations on random manifolds made easier
Repo for the paper 'Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold'
Riemannian Adaptive Optimization Methods with pytorch optim
Geometrical Layers for Pytorch Neural Networks
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
riemanian brownian motion using jax
Riemannian geometry in JAX
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Add a description, image, and links to the riemannian-geometry topic page so that developers can more easily learn about it.
To associate your repository with the riemannian-geometry topic, visit your repo's landing page and select "manage topics."