⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
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Updated
Jul 26, 2024 - Julia
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
🏔️Manopt. jl – Optimization on Manifolds in Julia
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
Tangent bundle, vector space and Submanifold definition
Riemannian Optimization Using JAX
Tensor algebra abstract type interoperability setup
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"
Methods for computational information geometry
Differential equations on manifolds
This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002 https://multires.caltech.edu/pubs/diffGeoOps.pdf
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]
This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an affinity graph and perform denoising on a set of N input points in R^n. Given an input set of points in any arbitrary dimension, an affinity graph is first created based on Tensor Voting, Local PCA or Euclidean …
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