:orphan:

.. _examples:

Gallery
=======

All the examples have a download link at the end. You can load the example's notebook on
`Google Colab <https://colab.research.google.com/>`_ and run them by adding the line

::

    pip install git+https://github.com/torchdr/torchdr.git#egg=torchdr

to the top of the notebook.



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    <div class="sphx-glr-thumbnails">

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    </div>

Affinities
----------



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    <div class="sphx-glr-thumbcontainer" tooltip="We show the adaptivity property of entropic affinities on a toy simulated dataset with heteroscedastic noise.">

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  .. image:: /auto_examples/affinities/images/thumb/sphx_glr_demo_ea_adaptivity_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_affinities_demo_ea_adaptivity.py`

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      <div class="sphx-glr-thumbnail-title">Entropic Affinities can adapt to varying noise levels</div>
    </div>


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   :hidden:

   /auto_examples/affinities/demo_ea_adaptivity

Basics
------



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    <div class="sphx-glr-thumbcontainer" tooltip="We show how to compute a PCA embedding using the closed form and using the AffinityMatcher class. Both approaches lead to the same solution.">

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  .. image:: /auto_examples/basics/images/thumb/sphx_glr_demo_pca_via_affinity_matcher_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_basics_demo_pca_via_affinity_matcher.py`

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      <div class="sphx-glr-thumbnail-title">PCA via SVD and via AffinityMatcher</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="We show how to compute a TSNE embedding with TorchDR on the swiss roll dataset.">

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  .. image:: /auto_examples/basics/images/thumb/sphx_glr_demo_tsne_swiss_roll_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_basics_demo_tsne_swiss_roll.py`

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      <div class="sphx-glr-thumbnail-title">TSNE embedding of the swiss roll dataset</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to use the IncrementalPCA class on GPU. We compare the memory usage and time taken to fit the model with the regular PCA class on GPU.">

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  .. image:: /auto_examples/basics/images/thumb/sphx_glr_incremental_pca_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_basics_incremental_pca.py`

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      <div class="sphx-glr-thumbnail-title">Incremental PCA on GPU</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="We illustrate the basic usage of TorchDR with different neighbor embedding methods on the SNARE-seq gene expression dataset with given cell type labels.">

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  .. image:: /auto_examples/basics/images/thumb/sphx_glr_demo_ne_methods_affinity_matcher_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_basics_demo_ne_methods_affinity_matcher.py`

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      <div class="sphx-glr-thumbnail-title">Neighbor Embedding on genomics & equivalent affinity matcher formulation</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/basics/demo_pca_via_affinity_matcher
   /auto_examples/basics/demo_tsne_swiss_roll
   /auto_examples/basics/incremental_pca
   /auto_examples/basics/demo_ne_methods_affinity_matcher


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  .. container:: sphx-glr-footer 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>`


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

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