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-rw-r--r-- | docs/source/readme.rst | 60 |
1 files changed, 14 insertions, 46 deletions
diff --git a/docs/source/readme.rst b/docs/source/readme.rst index 279e5da..4da1ceb 100644 --- a/docs/source/readme.rst +++ b/docs/source/readme.rst @@ -1,8 +1,8 @@ POT: Python Optimal Transport ============================= -|PyPI version| |Anaconda Cloud| |Build Status| |Codecov Status| -|Downloads| |Anaconda downloads| |License| +|PyPI version| |Anaconda Cloud| |Build Status| |Build Status| |Codecov +Status| |Downloads| |Anaconda downloads| |License| This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and @@ -184,44 +184,6 @@ The examples folder contain several examples and use case for the library. The full documentation is available on https://PythonOT.github.io/. -Here is a list of the Python notebooks available -`here <https://github.com/PythonOT/POT/blob/master/notebooks/>`__ if you -want a quick look: - -- `1D optimal - transport <https://github.com/PythonOT/POT/blob/master/notebooks/plot_OT_1D.ipynb>`__ -- `OT Ground - Loss <https://github.com/PythonOT/POT/blob/master/notebooks/plot_OT_L1_vs_L2.ipynb>`__ -- `Multiple EMD - computation <https://github.com/PythonOT/POT/blob/master/notebooks/plot_compute_emd.ipynb>`__ -- `2D optimal transport on empirical - distributions <https://github.com/PythonOT/POT/blob/master/notebooks/plot_OT_2D_samples.ipynb>`__ -- `1D Wasserstein - barycenter <https://github.com/PythonOT/POT/blob/master/notebooks/plot_barycenter_1D.ipynb>`__ -- `OT with user provided - regularization <https://github.com/PythonOT/POT/blob/master/notebooks/plot_optim_OTreg.ipynb>`__ -- `Domain adaptation with optimal - transport <https://github.com/PythonOT/POT/blob/master/notebooks/plot_otda_d2.ipynb>`__ -- `Color transfer in - images <https://github.com/PythonOT/POT/blob/master/notebooks/plot_otda_color_images.ipynb>`__ -- `OT mapping estimation for domain - adaptation <https://github.com/PythonOT/POT/blob/master/notebooks/plot_otda_mapping.ipynb>`__ -- `OT mapping estimation for color transfer in - images <https://github.com/PythonOT/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb>`__ -- `Wasserstein Discriminant - Analysis <https://github.com/PythonOT/POT/blob/master/notebooks/plot_WDA.ipynb>`__ -- `Gromov - Wasserstein <https://github.com/PythonOT/POT/blob/master/notebooks/plot_gromov.ipynb>`__ -- `Gromov Wasserstein - Barycenter <https://github.com/PythonOT/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb>`__ -- `Fused Gromov - Wasserstein <https://github.com/PythonOT/POT/blob/master/notebooks/plot_fgw.ipynb>`__ -- `Fused Gromov Wasserstein - Barycenter <https://github.com/PythonOT/POT/blob/master/notebooks/plot_barycenter_fgw.ipynb>`__ - -You can also see the notebooks with `Jupyter -nbviewer <https://nbviewer.jupyter.org/github/PythonOT/POT/tree/master/notebooks/>`__. - Acknowledgements ---------------- @@ -232,24 +194,28 @@ This toolbox has been created and is maintained by The contributors to this library are -- `Alexandre Gramfort <http://alexandre.gramfort.net/>`__ +- `Alexandre Gramfort <http://alexandre.gramfort.net/>`__ (CI) - `Laetitia Chapel <http://people.irisa.fr/Laetitia.Chapel/>`__ + (Partial OT) - `Michael Perrot <http://perso.univ-st-etienne.fr/pem82055/>`__ (Mapping estimation) - `Léo Gautheron <https://github.com/aje>`__ (GPU implementation) - `Nathalie Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1>`__ -- `Stanislas Chambon <https://slasnista.github.io/>`__ -- `Antoine Rolet <https://arolet.github.io/>`__ + (DA classes) +- `Stanislas Chambon <https://slasnista.github.io/>`__ (DA classes) +- `Antoine Rolet <https://arolet.github.io/>`__ (EMD solver debug) - Erwan Vautier (Gromov-Wasserstein) -- `Kilian Fatras <https://kilianfatras.github.io/>`__ +- `Kilian Fatras <https://kilianfatras.github.io/>`__ (Stochastic + solvers) - `Alain Rakotomamonjy <https://sites.google.com/site/alainrakotomamonjy/home>`__ -- `Vayer Titouan <https://tvayer.github.io/>`__ +- `Vayer Titouan <https://tvayer.github.io/>`__ (Gromov-Wasserstein -, + Fused-Gromov-Wasserstein) - `Hicham Janati <https://hichamjanati.github.io/>`__ (Unbalanced OT) - `Romain Tavenard <https://rtavenar.github.io/>`__ (1d Wasserstein) - `Mokhtar Z. Alaya <http://mzalaya.github.io/>`__ (Screenkhorn) -- `Ievgen Redko <https://ievred.github.io/>`__ +- `Ievgen Redko <https://ievred.github.io/>`__ (Laplacian DA, JCPOT) This toolbox benefit a lot from open source research and we would like to thank the following persons for providing some code (in various @@ -437,6 +403,8 @@ NIPS Workshop on Optimal Transport and Machine Learning OTML, 2014. :target: https://anaconda.org/conda-forge/pot .. |Build Status| image:: https://travis-ci.org/PythonOT/POT.svg?branch=master :target: https://travis-ci.org/PythonOT/POT +.. |Build Status| image:: https://github.com/PythonOT/POT/workflows/build/badge.svg + :target: https://github.com/PythonOT/POT/actions .. |Codecov Status| image:: https://codecov.io/gh/PythonOT/POT/branch/master/graph/badge.svg :target: https://codecov.io/gh/PythonOT/POT .. |Downloads| image:: https://pepy.tech/badge/pot |