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I am in the editorial board of the Gudhi library, which is a C++/Python-based general library for topological data analysis that contains various algorithms for simplicial complex and persistence diagram computation and representation. I have also worked actively in the implementation of the representation module, cover complex module, PersLay module (in TensorFlow) and cubical, Vietoris-Rips and lower-star differentiation modules (in TensorFlow), as well as on some tutorials. Programming language: C++, Python |
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perslocsig: package for computing local signatures on 3D shapes based on persistent homology. Programming language: C++, Python |
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TOPT, RipsNet, TU: TensorFlow models using or computing persistence diagrams. Programming language: Python |
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MREC: package for fast computation of optimal transport using recursive approximations. Programming language: Python |
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multipers, MMA: packages for computing multiparameter persistence descriptors. Programming language: C++, Python |
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metricmapper: package for computing and running statistics on generalized Mapper complexes. Programming language: Python |