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author | Rémi Flamary <remi.flamary@gmail.com> | 2017-09-15 13:57:01 +0200 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2017-09-15 13:57:01 +0200 |
commit | dd3546baf9c59733b2109a971293eba48d2eaed3 (patch) | |
tree | dbc9c5dd126eecf537acbe7d205b91250f2bdc9b /docs/source/auto_examples/index.rst | |
parent | bad3d95523d005a4fbf64dd009c716b9dd560fe3 (diff) |
add all files for doc
Diffstat (limited to 'docs/source/auto_examples/index.rst')
-rw-r--r-- | docs/source/auto_examples/index.rst | 326 |
1 files changed, 326 insertions, 0 deletions
diff --git a/docs/source/auto_examples/index.rst b/docs/source/auto_examples/index.rst index e69de29..eb54ca8 100644 --- a/docs/source/auto_examples/index.rst +++ b/docs/source/auto_examples/index.rst @@ -0,0 +1,326 @@ +POT Examples +============ + +This is a gallery of all the POT example files. + +.. 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 + + :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="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 + + :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="This example is designed to show how to use the Gromov-Wassertsein distance computation in POT...."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_gromov_thumb.png + + :ref:`sphx_glr_auto_examples_plot_gromov.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_gromov + +.. 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 + + :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 EMD and Sinkhorn with two differnt ground metrics and plot their ..."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_compute_emd_thumb.png + + :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="This example illustrate the use of WDA as proposed in [11]."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_WDA_thumb.png + + :ref:`sphx_glr_auto_examples_plot_WDA.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_WDA + +.. raw:: html + + <div class="sphx-glr-thumbcontainer" tooltip="This example presents a way of transferring colors between two image with Optimal Transport as ..."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_otda_color_images_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_color_images.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_otda_color_images + +.. 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/images/thumb/sphx_glr_plot_barycenter_1D_thumb.png + + :ref:`sphx_glr_auto_examples_plot_barycenter_1D.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_barycenter_1D + +.. 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/images/thumb/sphx_glr_plot_otda_mapping_colors_images_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_mapping_colors_images.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_otda_mapping_colors_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/images/thumb/sphx_glr_plot_otda_mapping_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_mapping.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_otda_mapping + +.. 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/images/thumb/sphx_glr_plot_otda_semi_supervised_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_semi_supervised.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/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/images/thumb/sphx_glr_plot_otda_classes_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_classes.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/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/images/thumb/sphx_glr_plot_otda_d2_thumb.png + + :ref:`sphx_glr_auto_examples_plot_otda_d2.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_otda_d2 + +.. raw:: html + + <div class="sphx-glr-thumbcontainer" tooltip="2D OT on empirical distributio with different gound metric."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_OT_L1_vs_L2_thumb.png + + :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 is designed to show how to use the Gromov-Wasserstein distance computation in POT...."> + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_gromov_barycenter_thumb.png + + :ref:`sphx_glr_auto_examples_plot_gromov_barycenter.py` + +.. raw:: html + + </div> + + +.. toctree:: + :hidden: + + /auto_examples/plot_gromov_barycenter +.. raw:: html + + <div style='clear:both'></div> + + + +.. container:: sphx-glr-footer + + + .. container:: sphx-glr-download + + :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>` + + + + .. container:: sphx-glr-download + + :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>` + +.. rst-class:: sphx-glr-signature + + `Generated by Sphinx-Gallery <http://sphinx-gallery.readthedocs.io>`_ |