POT: Python Optimal Transport — POT Python Optimal Transport 0. 9. 6 . . . Fast OT solvers in 1D, on the circle and between Gaussian Mixture Models (GMMs), Many ML related solvers, such as domain adaptation, optimal transport mapping estimation, subspace learning, Graph Neural Networks (GNNs) layers
ot. backend — POT Python Optimal Transport 0. 9. 6 documentation If you only need to know which implementations are available, use :py:func:`ot backend get_available_backend_implementations, which does not force instance of the backend object to be created
ot. bregman — POT Python Optimal Transport 0. 9. 6 documentation If you need to use a small regularization to get sharper OT matrices, you should use the ot bregman sinkhorn_log() solver that will avoid numerical errors This last solver can be very slow in practice and might not even converge to a reasonable OT matrix in a finite time