simplicial-complex

Computing on Topological Domains

TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

Geometries for 3D rendering: planes, grids, solids, polyhedra and outline paths, with normals, UVs and cell indices (faces). Perfect if you want to supercharge your dependency folder... with 20KB of geometries.

Representation Learning on Topological Domains

A general form for complex data

A simplicial complex and hypergraph visualization tool similar to Graphviz.

Use hodge decomposition for trajectory analysis

ggplot2 extension to visualize persistent homology

Tool to numerically solve and analyse simplicial Kuramoto models.

D-dimensional Delaunay triangulations and convex hulls in safe Rust, with Euclidean and toroidal topologies, exact predicates, Simulation of Simplicity, multi-level validation, and bistellar flips

Finite Element Exterior Calculus Engine in Rust

Model and represent Simplicial Complexes and their Cochains. Provides a clean interface to calculate Betti numbers and (discrete) Hodge decompositions.

R package for simplifying general computation on simplicial complexes

R package porting Ripser-based persistent homology calculation engines from C++ via Rcpp. Currently ports Ripser (Vietoris-Rips complex) and Cubical Ripser (cubical complex).

Python bindings to Simplex Tree data structure (w/ C++)

A toolkit for discrete calculus.

Forman Ricci Curvature for Simplicial Complex.

A self-contained python library designed to apply Mathematical Surgery Theory over Manifolds.

Algebraic topology simplicial complex engine computing chain groups and boundary matrix operators verifying d^2 = 0.

Algebraic topology simplicial complex engine computing chain groups and boundary matrix operators verifying d^2 = 0.