Metadata-Version: 2.1
Name: pykeops
Version: 2.1.2
Summary: Python bindings of KeOps: KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Home-page: http://www.kernel-operations.io/
Author: B. Charlier, J. Feydy, J. Glaunes
Author-email: benjamin.charlier@umontpellier.fr, jean.feydy@gmail.com, alexis.glaunes@parisdescartes.fr
Project-URL: Bug Reports, https://github.com/getkeops/keops/issues
Project-URL: Source, https://github.com/getkeops/keops
Keywords: kernels gpu autodiff
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3
Description-Content-Type: text/markdown
Provides-Extra: full
Provides-Extra: test

![logo pykeops](http://www.kernel-operations.io/keops/_images/pykeops_logo.png)

PyKeOps contains the python bindings (numpy and pytorch) for the cpp/cuda library [KeOps](https://www.kernel-operations.io/). It provides
standard python functions that can be used in any **python 3** codes.

For a full documentation you may read:

* [Installation](https://www.kernel-operations.io/keops/introduction/installation.html)
* [Documentation](https://www.kernel-operations.io/)
* [Learning KeOps syntax with examples](https://www.kernel-operations.io/keops/_auto_examples/index.html)
* [Tutorials gallery](https://www.kernel-operations.io/keops/_auto_tutorials/index.html)

# Authors

- [Benjamin Charlier](https://imag.umontpellier.fr/~charlier/)
- [Jean Feydy](https://www.math.ens.fr/~feydy/)
- [Joan Alexis Glaunès](https://www.mi.parisdescartes.fr/~glaunes/)
