SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
Topological Data Analysis using cubical homology. Implements algorithms from Tomasz Kaczynski's Computational Homology. Utilizes the open-source exact linear algebra library LinBox for Smith normal form computations. Uses these TDA methods to compute the cubical homology of grids obtained from cellular automata.
Exhaustive study in 4D of the Euler cell-composedness
A simple visualizer for the V- and T-construction of cubical complexes for 2D-images.
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
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