[NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning
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Updated
Aug 25, 2024 - C++
[NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning
Scikit-style multiparameter persistent homology, using signed measure and their representation for machine learning.
A data pipeline that represents point clouds as multi-parameter persistent homology landscapes for deep learning models
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