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update readme and doc
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README.md

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@@ -112,17 +112,17 @@ The examples folder contain several examples and use case for the library. The f
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Here is a list of the Python notebooks available [here](https://github.com/rflamary/POT/blob/master/notebooks/) if you want a quick look:
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* [1D optimal transport](https://github.com/rflamary/POT/blob/master/notebooks/Demo_1D_OT.ipynb)
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* [OT Ground Loss](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Ground_Loss.ipynb)
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* [Multiple EMD computation](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Compute_EMD.ipynb)
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* [2D optimal transport on empirical distributions](https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OT_samples.ipynb)
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* [1D Wasserstein barycenter](https://github.com/rflamary/POT/blob/master/notebooks/Demo_1D_barycenter.ipynb)
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* [OT with user provided regularization](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Optim_OTreg.ipynb)
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* [Domain adaptation with optimal transport](https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OT_DomainAdaptation.ipynb)
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* [Color transfer in images](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Image_ColorAdaptation.ipynb)
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* [OT mapping estimation for domain adaptation](https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OTmapping_DomainAdaptation.ipynb)
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* [OT mapping estimation for color transfer in images](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Image_ColorAdaptation_mapping.ipynb)
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* [Wasserstein Discriminant Analysis](https://github.com/rflamary/POT/blob/master/notebooks/Demo_Wasserstein_Discriminant_Analysis.ipynb)
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* [1D optimal transport](https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_1D.ipynb)
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* [OT Ground Loss](https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_L1_vs_L2.ipynb)
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* [Multiple EMD computation](https://github.com/rflamary/POT/blob/master/notebooks/plot_compute_emd.ipynb)
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* [2D optimal transport on empirical distributions](https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_2D_samples.ipynb)
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* [1D Wasserstein barycenter](https://github.com/rflamary/POT/blob/master/notebooks/plot_barycenter_1D.ipynb)
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* [OT with user provided regularization](https://github.com/rflamary/POT/blob/master/notebooks/plot_optim_OTreg.ipynb)
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* [Domain adaptation with optimal transport](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_d2.ipynb)
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* [Color transfer in images](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_color_images.ipynb)
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* [OT mapping estimation for domain adaptation](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping.ipynb)
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* [OT mapping estimation for color transfer in images](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb)
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* [Wasserstein Discriminant Analysis](https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb)
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You can also see the notebooks with [Jupyter nbviewer](https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/).
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docs/source/readme.rst

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want a quick look:
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- `1D optimal
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transport <https://github.com/rflamary/POT/blob/master/notebooks/Demo_1D_OT.ipynb>`__
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transport <https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_1D.ipynb>`__
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- `OT Ground
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Loss <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Ground_Loss.ipynb>`__
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Loss <https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_L1_vs_L2.ipynb>`__
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- `Multiple EMD
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computation <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Compute_EMD.ipynb>`__
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computation <https://github.com/rflamary/POT/blob/master/notebooks/plot_compute_emd.ipynb>`__
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- `2D optimal transport on empirical
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distributions <https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OT_samples.ipynb>`__
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distributions <https://github.com/rflamary/POT/blob/master/notebooks/plot_OT_2D_samples.ipynb>`__
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- `1D Wasserstein
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barycenter <https://github.com/rflamary/POT/blob/master/notebooks/Demo_1D_barycenter.ipynb>`__
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barycenter <https://github.com/rflamary/POT/blob/master/notebooks/plot_barycenter_1D.ipynb>`__
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- `OT with user provided
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regularization <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Optim_OTreg.ipynb>`__
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regularization <https://github.com/rflamary/POT/blob/master/notebooks/plot_optim_OTreg.ipynb>`__
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- `Domain adaptation with optimal
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transport <https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OT_DomainAdaptation.ipynb>`__
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transport <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_d2.ipynb>`__
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- `Color transfer in
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images <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Image_ColorAdaptation.ipynb>`__
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images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_color_images.ipynb>`__
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- `OT mapping estimation for domain
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adaptation <https://github.com/rflamary/POT/blob/master/notebooks/Demo_2D_OTmapping_DomainAdaptation.ipynb>`__
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adaptation <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping.ipynb>`__
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- `OT mapping estimation for color transfer in
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images <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Image_ColorAdaptation_mapping.ipynb>`__
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images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb>`__
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- `Wasserstein Discriminant
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Analysis <https://github.com/rflamary/POT/blob/master/notebooks/Demo_Wasserstein_Discriminant_Analysis.ipynb>`__
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Analysis <https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb>`__
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You can also see the notebooks with `Jupyter
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nbviewer <https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/>`__.

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