There are 3 repositories under riemannian-manifold topic.
Riemannian stochastic optimization algorithms: Version 1.0.3
Measure the distance between two spectra/signals using optimal transport and related metrics
Riemannian metrics to measure distances in latent space of VAEs
Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation
C++ library for meshes and finite elements on manifolds
Subsampled Riemannian trust-region (RTR) algorithms
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.
Project in Advanced Robotics course project at SDU 21/22. Implementation of learning method for skills for arm robots based on GMM with Rieamannian Manifolds
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
Geometrical Layers for Pytorch Neural Networks
MATH-512 Optimization on Manifolds Spring 2023 Project 1: Gaussian Mixture Models
Algorithms for the approximation of an embedding for Markov chains.
Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.
Master project: Bures-Wasserstein barycenters
Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)