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@@ -5,16 +5,18 @@ [![Build Status](https://travis-ci.org/PythonOT/POT.svg?branch=master)](https://travis-ci.org/PythonOT/POT) [![Build Status](https://github.com/PythonOT/POT/workflows/Linux%7CWin%7CMacOS/badge.svg)](https://github.com/PythonOT/POT/actions) [![Codecov Status](https://codecov.io/gh/PythonOT/POT/branch/master/graph/badge.svg)](https://codecov.io/gh/PythonOT/POT) -[![Documentation Status](https://readthedocs.org/projects/pot/badge/?version=latest)](http://pot.readthedocs.io/en/latest/?badge=latest) [![Downloads](https://pepy.tech/badge/pot)](https://pepy.tech/project/pot) [![Anaconda downloads](https://anaconda.org/conda-forge/pot/badges/downloads.svg)](https://anaconda.org/conda-forge/pot) [![License](https://anaconda.org/conda-forge/pot/badges/license.svg)](https://github.com/PythonOT/POT/blob/master/LICENSE) +This open source Python library provide several solvers for optimization +problems related to Optimal Transport for signal, image processing and machine +learning. -This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. +Website and documentation: [https://PythonOT.github.io/](https://PythonOT.github.io/) -It provides the following solvers: +POT provides the following solvers: * OT Network Flow solver for the linear program/ Earth Movers Distance [1]. * Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2], stabilized version [9][10] and greedy Sinkhorn [22] with optional GPU implementation (requires cupy). @@ -139,7 +141,7 @@ 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 [Readthedocs](http://pot.readthedocs.io/). +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: |