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| author | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-31 09:27:35 +0100 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-31 09:27:35 +0100 |
| commit | a5dd8c23736d2fd62c5627a20744a0662774a671 (patch) | |
| tree | 9a299692c8543c7c126f14db0a7532be2ce6897c | |
| parent | b2030a031b672a0618720d8622714a2e0d2db4f4 (diff) | |
redame update
| -rw-r--r-- | README.md | 4 |
1 files changed, 4 insertions, 0 deletions
@@ -3,6 +3,7 @@ This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. It provides the following solvers: + * OT solver for the linear program/ Earth Movers Distance [1]. * Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2]. * Bregman projections for Wasserstein barycenter [3] and unmixing [4]. @@ -19,6 +20,8 @@ The Library has been tested on Linux and MacOSX. It requires a C++ compiler for - Scipy (>=0.17) - Cython (>=0.23) - Matplotlib (>=1.5) + + Under debian based linux the dependencies can be installed with ``` sudo apt-get install python-numpy python-scipy python-matplotlib cython @@ -56,6 +59,7 @@ The examples folder contain several examples and use case for the library. The f ## Acknowledgements The contributors to this library are: + * [Rémi Flamary](http://remi.flamary.com/) * [Nicolas Courty](http://people.irisa.fr/Nicolas.Courty/) * [Laetitia Chapel](http://people.irisa.fr/Laetitia.Chapel/) |