Riemannian Adaptive Optimization Methods with pytorch optim
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Updated
Apr 28, 2024 - Python
Riemannian Adaptive Optimization Methods with pytorch optim
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
Algorithms for computations on random manifolds made easier
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Implementation of Deep SPDNet in pytorch
Accepted in IEEE Transactions on Emerging Topics in Computational Intelligence
Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
Riemannian geometry in JAX
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
riemanian brownian motion using jax
Geometrical Layers for Pytorch Neural Networks
Repo for the paper 'Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold'
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