diff options
| author | Rémi Flamary <remi.flamary@gmail.com> | 2018-02-20 16:17:42 +0100 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-02-20 16:17:42 +0100 |
| commit | f31d7259bd8d02774301d478d8e2027abd8b10cf (patch) | |
| tree | f3beb7b2fd58c1cbd23fa27b05620b7c77936611 /README.md | |
| parent | 6d9b281271167d3676538f2ef8518abea82ef9c8 (diff) | |
add badges
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 7 |
1 files changed, 3 insertions, 4 deletions
@@ -1,12 +1,11 @@ # POT: Python Optimal Transport [](https://badge.fury.io/py/POT) +[](https://anaconda.org/conda-forge/pot) [](https://travis-ci.org/rflamary/POT) [](http://pot.readthedocs.io/en/latest/?badge=latest) -[](https://anaconda.org/conda-forge/pot) -[](https://github.com/rflamary/POT/blob/master/LICENSE) [](https://anaconda.org/conda-forge/pot) - +[](https://github.com/rflamary/POT/blob/master/LICENSE) @@ -206,4 +205,4 @@ You can also post bug reports and feature requests in Github issues. Make sure t [12] Gabriel Peyré, Marco Cuturi, and Justin Solomon, [Gromov-Wasserstein averaging of kernel and distance matrices](http://proceedings.mlr.press/v48/peyre16.html) International Conference on Machine Learning (ICML). 2016. -[13] Mémoli, Facundo. [Gromov–Wasserstein distances and the metric approach to object matching](https://media.adelaide.edu.au/acvt/Publications/2011/2011-Gromov%E2%80%93Wasserstein%20Distances%20and%20the%20Metric%20Approach%20to%20Object%20Matching.pdf). Foundations of computational mathematics 11.4 (2011): 417-487.
\ No newline at end of file +[13] Mémoli, Facundo. [Gromov–Wasserstein distances and the metric approach to object matching](https://media.adelaide.edu.au/acvt/Publications/2011/2011-Gromov%E2%80%93Wasserstein%20Distances%20and%20the%20Metric%20Approach%20to%20Object%20Matching.pdf). Foundations of computational mathematics 11.4 (2011): 417-487. |