Examples gallery — POT Python Optimal Transport 0.9.6 documentation
This is a gallery of all the POT example files.
OT and regularized OT
Differentiable OT with PyTorch
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Different gradient computations for regularized optimal transport
Different gradient computations for regularized optimal transport
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Dual OT solvers for entropic and quadratic regularized OT with Pytorch
Dual OT solvers for entropic and quadratic regularized OT with Pytorch
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Optimizing the Gromov-Wasserstein distance with PyTorch
Optimizing the Gromov-Wasserstein distance with PyTorch
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Solving Many Optimal Transport Problems in Parallel
Solving Many Optimal Transport Problems in Parallel
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Sliced Wasserstein barycenter and gradient flow with PyTorch
Sliced Wasserstein barycenter and gradient flow with PyTorch
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Graph classification with Template Based Fused Gromov Wasserstein
Graph classification with Template Based Fused Gromov Wasserstein
Gromov-Wasserstein (GW) and Fused GW
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Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
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Graph classification with Template Based Fused Gromov Wasserstein
Graph classification with Template Based Fused Gromov Wasserstein
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(Fused) Gromov-Wasserstein Linear Dictionary Learning
(Fused) Gromov-Wasserstein Linear Dictionary Learning
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Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Unbalanced and Partial OT
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Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example
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Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
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Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by using unbalanced Co-Optimal Transport
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1D Wasserstein barycenter demo for Unbalanced distributions
1D Wasserstein barycenter demo for Unbalanced distributions
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Translation Invariant Sinkhorn for Unbalanced Optimal Transport
Translation Invariant Sinkhorn for Unbalanced Optimal Transport
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Partial Wasserstein and Gromov-Wasserstein example
Partial Wasserstein and Gromov-Wasserstein example
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Regularization path of l2-penalized unbalanced optimal transport
Regularization path of l2-penalized unbalanced optimal transport
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2D examples of exact and entropic unbalanced optimal transport
2D examples of exact and entropic unbalanced optimal transport
OT in 1D and Sliced Wasserstein
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Spherical Sliced Wasserstein on distributions in S^2
Spherical Sliced Wasserstein on distributions in S^2
OT on Gaussian and Gaussian Mixture Models
Factored an Low-Rank OT
Wasserstein and (F)GW barycenters
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1D Wasserstein barycenter: exact LP vs entropic regularization
1D Wasserstein barycenter: exact LP vs entropic regularization
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2D free support Wasserstein barycenters of distributions
2D free support Wasserstein barycenters of distributions
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2D free support Sinkhorn barycenters of distributions
2D free support Sinkhorn barycenters of distributions
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Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning
Domain adaptation with OT
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OT for domain adaptation on empirical distributions
OT for domain adaptation on empirical distributions
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OT with Laplacian regularization for domain adaptation
OT with Laplacian regularization for domain adaptation
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OT for image color adaptation with mapping estimation
OT for image color adaptation with mapping estimation
Other OT problems
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Row and column alignments with CO-Optimal Transport
Row and column alignments with CO-Optimal Transport
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Smooth and Strongly Convex Nearest Brenier Potentials
Smooth and Strongly Convex Nearest Brenier Potentials
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Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by using unbalanced Co-Optimal Transport