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author | Nicolas Courty <ncourty@irisa.fr> | 2018-06-10 22:59:27 +0200 |
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committer | GitHub <noreply@github.com> | 2018-06-10 22:59:27 +0200 |
commit | 530dc93a60e9b81fb8d1b44680deea77dacf660b (patch) | |
tree | a2ae2e21bf7fac9fe2fa368782d7df5ea9974342 /README.md | |
parent | 90efa5a8b189214d1aeb81920b2bb04ce0c261ca (diff) | |
parent | 2b375f263ef88100b0321c8ef1b3605dfbb95b3d (diff) |
Merge pull request #49 from rflamary/dataset_fun
Dataset functions + test/notebooks update
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 22 |
1 files changed, 12 insertions, 10 deletions
@@ -25,12 +25,23 @@ It provides the following solvers: Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. +#### Using and citing the toolbox + +If you use this toolbox in your research and find it useful, please cite POT using the following bibtex reference: +``` +@article{flamary2017pot, + title={POT Python Optimal Transport library}, + author={Flamary, R{\'e}mi and Courty, Nicolas}, + year={2017} +} +``` + ## Installation The library has been tested on Linux, MacOSX and Windows. It requires a C++ compiler for using the EMD solver and relies on the following Python modules: - Numpy (>=1.11) -- Scipy (>=0.17) +- Scipy (>=1.0) - Cython (>=0.23) - Matplotlib (>=1.5) @@ -156,16 +167,7 @@ This toolbox benefit a lot from open source research and we would like to thank * [Nicolas Bonneel](http://liris.cnrs.fr/~nbonneel/) ( C++ code for EMD) * [Marco Cuturi](http://marcocuturi.net/) (Sinkhorn Knopp in Matlab/Cuda) -## Using and citing the toolbox -If you use this toolbox in your research and find it useful, please cite POT using the following bibtex reference: -``` -@article{flamary2017pot, - title={POT Python Optimal Transport library}, - author={Flamary, R{\'e}mi and Courty, Nicolas}, - year={2017} -} -``` ## Contributions and code of conduct Every contribution is welcome and should respect the [contribution guidelines](CONTRIBUTING.md). Each member of the project is expected to follow the [code of conduct](CODE_OF_CONDUCT.md). |