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@@ -35,7 +35,7 @@ POT provides the following generic OT solvers (links to examples):
* [Partial Wasserstein and Gromov-Wasserstein](https://pythonot.github.io/auto_examples/unbalanced-partial/plot_partial_wass_and_gromov.html) (exact [29] and entropic [3]
formulations).
* [Sliced Wasserstein](https://pythonot.github.io/auto_examples/sliced-wasserstein/plot_variance.html) [31, 32] and Max-sliced Wasserstein [35] that can be used for gradient flows [36].
-* [Several backends](https://pythonot.github.io/quickstart.html#solving-ot-with-multiple-backends) for easy use of POT with [Pytorch](https://pytorch.org/)/[jax](https://github.com/google/jax)/[Numpy](https://numpy.org/) arrays.
+* [Several backends](https://pythonot.github.io/quickstart.html#solving-ot-with-multiple-backends) for easy use of POT with [Pytorch](https://pytorch.org/)/[jax](https://github.com/google/jax)/[Numpy](https://numpy.org/)/[Cupy](https://cupy.dev/)/[Tensorflow](https://www.tensorflow.org/) arrays.
POT provides the following Machine Learning related solvers:
@@ -202,12 +202,12 @@ This toolbox benefit a lot from open source research and we would like to thank
* [Gabriel Peyré](http://gpeyre.github.io/) (Wasserstein Barycenters in Matlab)
* [Mathieu Blondel](https://mblondel.org/) (original implementation smooth OT)
-* [Nicolas Bonneel](http://liris.cnrs.fr/~nbonneel/) ( C++ code for EMD)
+* [Nicolas Bonneel](http://liris.cnrs.fr/~nbonneel/) (C++ code for EMD)
* [Marco Cuturi](http://marcocuturi.net/) (Sinkhorn Knopp in Matlab/Cuda)
## Contributions and code of conduct
-Every contribution is welcome and should respect the [contribution guidelines](https://pythonot.github.io/contributing.html). Each member of the project is expected to follow the [code of conduct](https://pythonot.github.io/code_of_conduct.html).
+Every contribution is welcome and should respect the [contribution guidelines](.github/CONTRIBUTING.md). Each member of the project is expected to follow the [code of conduct](.github/CODE_OF_CONDUCT.md).
## Support
@@ -217,7 +217,7 @@ You can ask questions and join the development discussion:
* On the POT [gitter channel](https://gitter.im/PythonOT/community)
* On the POT [mailing list](https://mail.python.org/mm3/mailman3/lists/pot.python.org/)
-You can also post bug reports and feature requests in Github issues. Make sure to read our [guidelines](https://pythonot.github.io/contributing.html) first.
+You can also post bug reports and feature requests in Github issues. Make sure to read our [guidelines](.github/CONTRIBUTING.md) first.
## References