A high-performance topological machine learning toolbox in Python
- 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
A fork to optimize interval matching in the bootstrap case; also extends to data with arbitrary (precomputed) distance metrics.
This project uses topological methods to track evasion paths in mobile sensor networks.
Computes a Witness Complex for a given set of landmarks and witnesses.
A Python package for constructing 2D alpha hulls for negative alphas.
Python implementation for computing the 2D matching distance and bottleneck distances between multivariate functions on triangulated surfaces.
Attempt to extract the fundamental group in a semiautomatic and interactive manner
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