A high-performance topological machine learning toolbox in Python
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Updated
Jun 18, 2024 - Python
A high-performance topological machine learning toolbox in Python
Computing Betti numbers from simplicial complexes.
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).
Python implementation of polygon-inclusion algorithm based on the winding number
This project uses topological methods to track evasion paths in mobile sensor networks.
A fork to optimize interval matching in the bootstrap case; also extends to data with arbitrary (precomputed) distance metrics.
Computes a Witness Complex for a given set of landmarks and witnesses.
A Python package for constructing 2D alpha hulls for negative alphas.
Attempt to extract the fundamental group in a semiautomatic and interactive manner
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