Distance-based Analysis of DAta-manifolds in python
Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
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.
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
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
Slepian Scale-Discretised Wavelets in Python
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
A Python library for geometric processing (parts of the library developed for M.Mat.0731 in SoSe23 and WiSe23/24 -- not the complete project...)
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