:orphan:



.. _sphx_glr_auto_examples:

Examples gallery
================

This is a gallery of all the POT example files. 


OT and regularized OT
---------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of EMD and Sinkhorn transport plans and their visualiz...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_OT_1D_thumb.png
     :alt: Optimal Transport for 1D distributions

     :ref:`sphx_glr_auto_examples_plot_OT_1D.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_OT_1D

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of EMD, Sinkhorn and smooth OT plans and their visuali...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_OT_1D_smooth_thumb.png
     :alt: Smooth optimal transport example

     :ref:`sphx_glr_auto_examples_plot_OT_1D_smooth.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_OT_1D_smooth

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Illustrates the use of the generic solver for regularized OT with user-designed regularization ...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_optim_OTreg_thumb.png
     :alt: Regularized OT with generic solver

     :ref:`sphx_glr_auto_examples_plot_optim_OTreg.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_optim_OTreg

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Illustration of 2D optimal transport between discributions that are weighted sum of diracs. The...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_OT_2D_samples_thumb.png
     :alt: Optimal Transport between 2D empirical distributions

     :ref:`sphx_glr_auto_examples_plot_OT_2D_samples.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_OT_2D_samples

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Shows how to compute multiple Wassersein and Sinkhorn with two different ground metrics and plo...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_compute_emd_thumb.png
     :alt: OT distances in 1D

     :ref:`sphx_glr_auto_examples_plot_compute_emd.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_compute_emd

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="2D OT on empirical distributio  with different ground metric.">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_OT_L1_vs_L2_thumb.png
     :alt: Optimal Transport with different gournd metrics

     :ref:`sphx_glr_auto_examples_plot_OT_L1_vs_L2.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_OT_L1_vs_L2

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example gives an introduction on how to use Optimal Transport in Python.">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_Intro_OT_thumb.png
     :alt: Introduction to Optimal Transport with Python

     :ref:`sphx_glr_auto_examples_plot_Intro_OT.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_Intro_OT
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_backends:



POT backend examples
--------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example we estimate mixing parameters from distributions that minimize the Wasserstein ...">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_unmix_optim_torch_thumb.png
     :alt: Wasserstein unmixing with PyTorch

     :ref:`sphx_glr_auto_examples_backends_plot_unmix_optim_torch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_unmix_optim_torch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Dual OT solvers for entropic and quadratic regularized OT with Pytorch">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_dual_ot_pytorch_thumb.png
     :alt: Dual OT solvers for entropic and quadratic regularized OT with Pytorch

     :ref:`sphx_glr_auto_examples_backends_plot_dual_ot_pytorch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_dual_ot_pytorch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this small example, we consider the following minimization problem:">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_wass1d_torch_thumb.png
     :alt: Wasserstein 1D (flow and barycenter) with PyTorch

     :ref:`sphx_glr_auto_examples_backends_plot_wass1d_torch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_wass1d_torch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example we train a Wasserstein GAN using Wasserstein 2 on minibatches as a distribution...">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_wass2_gan_torch_thumb.png
     :alt: Wasserstein 2 Minibatch GAN with PyTorch

     :ref:`sphx_glr_auto_examples_backends_plot_wass2_gan_torch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_wass2_gan_torch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this exemple we use the pytorch backend to optimize the sliced Wasserstein loss between two ...">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_sliced_wass_grad_flow_pytorch_thumb.png
     :alt: Sliced Wasserstein barycenter and gradient flow with PyTorch

     :ref:`sphx_glr_auto_examples_backends_plot_sliced_wass_grad_flow_pytorch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_sliced_wass_grad_flow_pytorch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Continuous OT plan estimation with Pytorch">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_stoch_continuous_ot_pytorch_thumb.png
     :alt: Continuous OT plan estimation with Pytorch

     :ref:`sphx_glr_auto_examples_backends_plot_stoch_continuous_ot_pytorch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_stoch_continuous_ot_pytorch

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example, we use the pytorch backend to optimize the Gromov-Wasserstein (GW) loss betwee...">

.. only:: html

 .. figure:: /auto_examples/backends/images/thumb/sphx_glr_plot_optim_gromov_pytorch_thumb.png
     :alt: Optimizing the Gromov-Wasserstein distance with PyTorch

     :ref:`sphx_glr_auto_examples_backends_plot_optim_gromov_pytorch.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/backends/plot_optim_gromov_pytorch
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_barycenters:



Wasserstein barycenters
-----------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Illustration of 2D Wasserstein barycenters if distributions are weighted sum of diracs.">

.. only:: html

 .. figure:: /auto_examples/barycenters/images/thumb/sphx_glr_plot_free_support_barycenter_thumb.png
     :alt: 2D free support Wasserstein barycenters of distributions

     :ref:`sphx_glr_auto_examples_barycenters_plot_free_support_barycenter.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/barycenters/plot_free_support_barycenter

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example is designed to illustrate how the Convolutional Wasserstein Barycenter function of...">

.. only:: html

 .. figure:: /auto_examples/barycenters/images/thumb/sphx_glr_plot_convolutional_barycenter_thumb.png
     :alt: Convolutional Wasserstein Barycenter example

     :ref:`sphx_glr_auto_examples_barycenters_plot_convolutional_barycenter.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/barycenters/plot_convolutional_barycenter

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of regularized Wassersyein Barycenter as proposed in [...">

.. only:: html

 .. figure:: /auto_examples/barycenters/images/thumb/sphx_glr_plot_barycenter_1D_thumb.png
     :alt: 1D Wasserstein barycenter demo

     :ref:`sphx_glr_auto_examples_barycenters_plot_barycenter_1D.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/barycenters/plot_barycenter_1D

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of the debiased Sinkhorn barycenter as proposed in [37...">

.. only:: html

 .. figure:: /auto_examples/barycenters/images/thumb/sphx_glr_plot_debiased_barycenter_thumb.png
     :alt: Debiased Sinkhorn barycenter demo

     :ref:`sphx_glr_auto_examples_barycenters_plot_debiased_barycenter.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/barycenters/plot_debiased_barycenter

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of regularized Wasserstein Barycenter as proposed in [...">

.. only:: html

 .. figure:: /auto_examples/barycenters/images/thumb/sphx_glr_plot_barycenter_lp_vs_entropic_thumb.png
     :alt: 1D Wasserstein barycenter: exact LP vs entropic regularization

     :ref:`sphx_glr_auto_examples_barycenters_plot_barycenter_lp_vs_entropic.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/barycenters/plot_barycenter_lp_vs_entropic
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_domain-adaptation:




Domain adaptation examples
--------------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Linear OT mapping estimation">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_linear_mapping_thumb.png
     :alt: Linear OT mapping estimation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_linear_mapping.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_linear_mapping

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces a domain adaptation in a 2D setting and OTDA approach with Laplacian re...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_laplacian_thumb.png
     :alt: OT with Laplacian regularization for domain adaptation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_laplacian.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_laplacian

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example presents a way of transferring colors between two images with Optimal Transport as...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_color_images_thumb.png
     :alt: OT for image color adaptation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_color_images.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_color_images

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example presents how to use MappingTransport to estimate at the same time both the couplin...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_mapping_thumb.png
     :alt: OT mapping estimation for domain adaptation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_mapping.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_mapping

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="OT for domain adaptation with image color adaptation [6] with mapping estimation [8].">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_mapping_colors_images_thumb.png
     :alt: OT for image color adaptation with mapping estimation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_mapping_colors_images.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_mapping_colors_images

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces a semi supervised domain adaptation in a 2D setting. It explicits the p...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_semi_supervised_thumb.png
     :alt: OTDA unsupervised vs semi-supervised setting

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_semi_supervised.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_semi_supervised

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces a domain adaptation in a 2D setting and the 4 OTDA approaches currently...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_classes_thumb.png
     :alt: OT for domain adaptation

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_classes.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_classes

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces a domain adaptation in a 2D setting. It explicits the problem of domain...">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_d2_thumb.png
     :alt: OT for domain adaptation on empirical distributions

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_d2.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_d2

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces a target shift problem with two 2D source and 1 target domain.">

.. only:: html

 .. figure:: /auto_examples/domain-adaptation/images/thumb/sphx_glr_plot_otda_jcpot_thumb.png
     :alt: OT for multi-source target shift

     :ref:`sphx_glr_auto_examples_domain-adaptation_plot_otda_jcpot.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/domain-adaptation/plot_otda_jcpot
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_gromov:



Gromov and Fused-Gromov-Wasserstein
-----------------------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example is designed to show how to use the Gromov-Wassertsein distance computation in POT.">

.. only:: html

 .. figure:: /auto_examples/gromov/images/thumb/sphx_glr_plot_gromov_thumb.png
     :alt: Gromov-Wasserstein example

     :ref:`sphx_glr_auto_examples_gromov_plot_gromov.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/gromov/plot_gromov

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of FGW for 1D measures [18].">

.. only:: html

 .. figure:: /auto_examples/gromov/images/thumb/sphx_glr_plot_fgw_thumb.png
     :alt: Plot Fused-gromov-Wasserstein

     :ref:`sphx_glr_auto_examples_gromov_plot_fgw.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/gromov/plot_fgw

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation barycenter of labeled graphs using FGW [18].">

.. only:: html

 .. figure:: /auto_examples/gromov/images/thumb/sphx_glr_plot_barycenter_fgw_thumb.png
     :alt: Plot graphs barycenter using FGW

     :ref:`sphx_glr_auto_examples_gromov_plot_barycenter_fgw.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/gromov/plot_barycenter_fgw

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example is designed to show how to use the Gromov-Wasserstein distance computation in POT.">

.. only:: html

 .. figure:: /auto_examples/gromov/images/thumb/sphx_glr_plot_gromov_barycenter_thumb.png
     :alt: Gromov-Wasserstein Barycenter example

     :ref:`sphx_glr_auto_examples_gromov_plot_gromov_barycenter.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/gromov/plot_gromov_barycenter

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this exemple, we illustrate how to learn a Gromov-Wasserstein dictionary on a dataset of str...">

.. only:: html

 .. figure:: /auto_examples/gromov/images/thumb/sphx_glr_plot_gromov_wasserstein_dictionary_learning_thumb.png
     :alt: (Fused) Gromov-Wasserstein Linear Dictionary Learning

     :ref:`sphx_glr_auto_examples_gromov_plot_gromov_wasserstein_dictionary_learning.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/gromov/plot_gromov_wasserstein_dictionary_learning
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_others:




Other OT problems
-----------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of Screenkhorn [26].">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_screenkhorn_1D_thumb.png
     :alt: Screened optimal transport (Screenkhorn)

     :ref:`sphx_glr_auto_examples_others_plot_screenkhorn_1D.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_screenkhorn_1D

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Illustration of 2D optimal transport between distributions that are weighted sum of diracs. The...">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_WeakOT_VS_OT_thumb.png
     :alt: Weak Optimal Transport VS exact Optimal Transport

     :ref:`sphx_glr_auto_examples_others_plot_WeakOT_VS_OT.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_WeakOT_VS_OT

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Illustration of the factored coupling OT between 2D empirical distributions">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_factored_coupling_thumb.png
     :alt: Optimal transport with factored couplings

     :ref:`sphx_glr_auto_examples_others_plot_factored_coupling.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_factored_coupling

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrate the use of WDA as proposed in [11].">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_WDA_thumb.png
     :alt: Wasserstein Discriminant Analysis

     :ref:`sphx_glr_auto_examples_others_plot_WDA.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_WDA

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example is designed to show how to use the stochatic optimization algorithms for discrete ...">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_stochastic_thumb.png
     :alt: Stochastic examples

     :ref:`sphx_glr_auto_examples_others_plot_stochastic.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_stochastic

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example we plot the logo of the POT toolbox.">

.. only:: html

 .. figure:: /auto_examples/others/images/thumb/sphx_glr_plot_logo_thumb.png
     :alt: Logo of the POT toolbox

     :ref:`sphx_glr_auto_examples_others_plot_logo.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/others/plot_logo
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_sliced-wasserstein:



Sliced Wasserstein Distance
---------------------------



.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of the sliced Wasserstein Distance as proposed in [31]...">

.. only:: html

 .. figure:: /auto_examples/sliced-wasserstein/images/thumb/sphx_glr_plot_variance_thumb.png
     :alt: Sliced Wasserstein Distance on 2D distributions

     :ref:`sphx_glr_auto_examples_sliced-wasserstein_plot_variance.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/sliced-wasserstein/plot_variance
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_unbalanced-partial:


Unbalanced and Partial OT
-------------------------


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of Unbalanced Optimal transport using a Kullback-Leibl...">

.. only:: html

 .. figure:: /auto_examples/unbalanced-partial/images/thumb/sphx_glr_plot_UOT_1D_thumb.png
     :alt: 1D Unbalanced optimal transport

     :ref:`sphx_glr_auto_examples_unbalanced-partial_plot_UOT_1D.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/unbalanced-partial/plot_UOT_1D

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="UOT aims at solving the following optimization problem:">

.. only:: html

 .. figure:: /auto_examples/unbalanced-partial/images/thumb/sphx_glr_plot_unbalanced_OT_thumb.png
     :alt: 2D examples of exact and entropic unbalanced optimal transport

     :ref:`sphx_glr_auto_examples_unbalanced-partial_plot_unbalanced_OT.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/unbalanced-partial/plot_unbalanced_OT

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the computation of regularized Wassersyein Barycenter as proposed in [...">

.. only:: html

 .. figure:: /auto_examples/unbalanced-partial/images/thumb/sphx_glr_plot_UOT_barycenter_1D_thumb.png
     :alt: 1D Wasserstein barycenter demo for Unbalanced distributions

     :ref:`sphx_glr_auto_examples_unbalanced-partial_plot_UOT_barycenter_1D.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/unbalanced-partial/plot_UOT_barycenter_1D

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example is designed to show how to use the Partial (Gromov-)Wasserstein distance computati...">

.. only:: html

 .. figure:: /auto_examples/unbalanced-partial/images/thumb/sphx_glr_plot_partial_wass_and_gromov_thumb.png
     :alt: Partial Wasserstein and Gromov-Wasserstein example

     :ref:`sphx_glr_auto_examples_unbalanced-partial_plot_partial_wass_and_gromov.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/unbalanced-partial/plot_partial_wass_and_gromov

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="[Chapel et al., 2021] Chapel, L., Flamary, R., Wu, H., Févotte, C., and Gasso, G. (2021). Unbal...">

.. only:: html

 .. figure:: /auto_examples/unbalanced-partial/images/thumb/sphx_glr_plot_regpath_thumb.png
     :alt: Regularization path of l2-penalized unbalanced optimal transport

     :ref:`sphx_glr_auto_examples_unbalanced-partial_plot_regpath.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/unbalanced-partial/plot_regpath
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-gallery


  .. container:: sphx-glr-download sphx-glr-download-python

    :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

    :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_