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| author | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-27 15:47:42 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2016-10-27 15:47:42 +0200 |
| commit | 6a02cfaf6c3a8ff30fc8970b18758ac64d5dd6e2 (patch) | |
| tree | a02afb4f9789e8884a82f437859091dd4b32da59 /README.md | |
| parent | 537e9cfbf06341cb3bcdaecf1f99b2a0d4e9dfa8 (diff) | |
update readme + demo notebook
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 16 |
1 files changed, 10 insertions, 6 deletions
@@ -1,13 +1,14 @@ -# POT +# POT: Python Optimal Transport library Python Optimal Transport library -This Python librarie is an open source implementation with several functions that allow to solve optimal transport problems in Python. +This Python librarie is an open source implementation of several functions that allow to solve optimal transport problems in Python. It provides the following solvers: -* Linear program (LP) OT solver/ Earth Movers Distance (using code from Antoine Rolet and Nicolas Bonneel) -* Entropic regularization OT solver -* Bregman projection for Wasserstein barycenter and unmixing -* Optimal transport for domain adaptation +* Linear program (LP) OT solver/ Earth Movers Distance (using code from Antoine Rolet and Nicolas Bonneel). +* Entropic regularization OT solver (Sinkhorn Knopp ALgorithm) +* Bregman projection for Wasserstein barycenter and unmixing. +* Optimal transport for domain adaptation (with group lasso regularization) +* Conditional gradient and Generalized conditional gradient for regularized OT. Some demonstrations of what can be done are available in the examples folder. @@ -15,4 +16,7 @@ Some demonstrations of what can be done are available in the examples folder. ## Installation +## Examples + + ## References |