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

This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]

Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002

Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"

Learning-Rate-Free Stochastic Riemannian Optimization in JAX.

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.

A Python library for geometric processing (parts of the library developed for M.Mat.0731 in SoSe23 and WiSe23/24 -- not the complete project...)

Code for the paper "Approximating Latent Manifolds in Neural Networks via Vanishing Ideals"

Slepian Scale-Discretised Wavelets in Python

Distance-based Analysis of DAta-manifolds in python

An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.