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Author:
Omar A. Hassan
Summary:
WaX: explainable Wasserstein distances. Attributes a Wasserstein distance to instances, features and subspaces (Naumann, Kauffmann and Montavon, TPAMI 2026).
Latest version:
0.2.4
Required dependencies:
numpy
|
pot
|
scipy
Optional dependencies:
matplotlib
|
open-clip-torch
|
scikit-learn
|
torch
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