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GeezerVison is showing pythonot.github.io — Examples gallery — POT Python Optimal Transport 0.9.7 documentation Examples galleryThis is a gallery of all the POT example files. OT and regularized OT
Fast and accurate transport bijections using BSP-OT Fast and accurate transport bijections using BSP-OT
Differentiable OT with PyTorch
Different gradient computations for regularized optimal transport Different gradient computations for regularized optimal transport
Dual OT solvers for entropic and quadratic regularized OT with Pytorch Dual OT solvers for entropic and quadratic regularized OT with Pytorch
Solve Fused Unbalanced Gromov Wasserstein with Adam Solve Fused Unbalanced Gromov Wasserstein with Adam
Optimizing the Gromov-Wasserstein distance with PyTorch Optimizing the Gromov-Wasserstein distance with PyTorch
Solving Many Optimal Transport Problems in Parallel Solving Many Optimal Transport Problems in Parallel
Sliced Wasserstein barycenter and gradient flow with PyTorch Sliced Wasserstein barycenter and gradient flow with PyTorch
Graph classification with Template Based Fused Gromov Wasserstein Graph classification with Template Based Fused Gromov Wasserstein
Gromov-Wasserstein (GW) and Fused GW
Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
Graph classification with Template Based Fused Gromov Wasserstein Graph classification with Template Based Fused Gromov Wasserstein
(Fused) Gromov-Wasserstein Linear Dictionary Learning (Fused) Gromov-Wasserstein Linear Dictionary Learning
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Unbalanced and Partial OT
Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by using unbalanced Co-Optimal Transport
1D Wasserstein barycenter demo for Unbalanced distributions 1D Wasserstein barycenter demo for Unbalanced distributions
Translation Invariant Sinkhorn for Unbalanced Optimal Transport Translation Invariant Sinkhorn for Unbalanced Optimal Transport
Numerically-stable entropic partial Wasserstein (log-domain solver) Numerically-stable entropic partial Wasserstein (log-domain solver)
Partial Wasserstein and Gromov-Wasserstein example Partial Wasserstein and Gromov-Wasserstein example
Regularization path of l2-penalized unbalanced optimal transport Regularization path of l2-penalized unbalanced optimal transport
2D examples of exact and entropic unbalanced optimal transport 2D examples of exact and entropic unbalanced optimal transport
OT in 1D and Sliced Wasserstein
Sliced Wasserstein Distance with input scaling (DataScaler) Sliced Wasserstein Distance with input scaling (DataScaler)
Spherical Sliced Wasserstein on distributions in S^2 Spherical Sliced Wasserstein on distributions in S^2
OT on Gaussian and Gaussian Mixture ModelsFactored an Low-Rank OTWasserstein and (F)GW barycenters
1D Wasserstein barycenter: exact LP vs entropic regularization 1D Wasserstein barycenter: exact LP vs entropic regularization
2D free support Wasserstein barycenters of distributions 2D free support Wasserstein barycenters of distributions
2D free support Sinkhorn barycenters of distributions 2D free support Sinkhorn barycenters of distributions
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Domain adaptation with OT
OT for domain adaptation on empirical distributions OT for domain adaptation on empirical distributions
OT with Laplacian regularization for domain adaptation OT with Laplacian regularization for domain adaptation
OT for image color adaptation with mapping estimation OT for image color adaptation with mapping estimation
Other OT problems
Row and column alignments with CO-Optimal Transport Row and column alignments with CO-Optimal Transport
Smooth and Strongly Convex Nearest Brenier Potentials Smooth and Strongly Convex Nearest Brenier Potentials
Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by using unbalanced Co-Optimal Transport
Spectral-Grassmann OT on dynamical systems operators Spectral-Grassmann OT on dynamical systems operators
Python Optimal Transport 0.9.7
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