The GUDHI library now offers edge collapse Python interface, Delaunay-Čech complex computation and some options to speed up Simplex_tree cofaces browsing
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As a major new feature, the GUDHI library now offers Perslay, a Tensorflow model for the representations module, scikit-learn like interfaces for Cover Complexes, a new function to compute persistence of a function on ℝ and the possibility to build a Cubical Complex as a lower-star filtration from vertices.
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As a major new feature, the GUDHI library now offers new functions to initialize a Simplex tree. Universal wheel for OSx pip package and python 3.11 are now available.
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As a major new feature, the GUDHI library now offers automatic differentiation for the computation of persistence diagrams, Cubical complex persistence scikit-learn like interface, datasets fetch methods, and weighted version for alpha complex in any dimension D.
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As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM and edge collapse.
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As a major new feature, the GUDHI library now offers a Python interface to the Nerve and Graph Induced Complex. The GUDHI conda package is now available through conda-forge channel.
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As a major new feature, the GUDHI library now offers a Čech complex module, a sparse version of the Rips complex and a utility to build the Rips complex from a correlation matrix (no Python interface yet).
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This minor GUDHI library version is fixing issues and improves persistence graphical tools module. All the new modules comes with their Python interface and a lot of examples, even in Python.
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As a major new feature, the GUDHI library now offers an interface with Python. All the new modules comes with their Python interface and a lot of examples, even in Python.
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