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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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I have contributed and regularly promoting the multipers library, which is a C++/Python-based library for computing multi-parameter persistent homology descriptors.
In particular, I have worked on a multi-parameter extension of the ToMATo clustering algorithm called tomatomp. Programming language: C++, Python |