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@@ -136,35 +136,11 @@ T_reg=ot.sinkhorn(a,b,M,reg) # entropic regularized OT ba=ot.barycenter(A,M,reg) # reg is regularization parameter ``` - - - ### Examples and Notebooks The examples folder contain several examples and use case for the library. The full documentation is available on [https://PythonOT.github.io/](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 This toolbox has been created and is maintained by @@ -174,21 +150,21 @@ This toolbox has been created and is maintained by The contributors to this library are -* [Alexandre Gramfort](http://alexandre.gramfort.net/) -* [Laetitia Chapel](http://people.irisa.fr/Laetitia.Chapel/) +* [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/) +* [Nathalie Gayraud](https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1) (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 languages): |