An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
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Updated
Dec 7, 2025 - Python
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
Distance-based Analysis of DAta-manifolds in python
Slepian Scale-Discretised Wavelets in Python
A Python library for geometric processing (parts of the library developed for M.Mat.0731 in SoSe23 and WiSe23/24 -- not the complete project...)
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]
This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002 http://multires.caltech.edu/pubs/diffGeoOps.pdf
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