Translations:PyKeOps/1/en: Difference between revisions

From Alliance Doc
Jump to navigation Jump to search
(Importing a new version from external source)
(Importing a new version from external source)
 
Line 1: Line 1:
__FORCETOC__
__FORCETOC__
The [https://www.kernel-operations.io/keops/index.html KeOps] library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with [[Python]] (NumPy, [[PyTorch]]), [[MATLAB]] and [[R]].
The [https://www.kernel-operations.io/keops/index.html KeOps] library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with [[Python]] ([https://numpy.org/doc/stable/ NumPy], [[PyTorch]]), [[MATLAB]] and [[R]].

Latest revision as of 18:49, 30 September 2024

Information about message (contribute)
This message has no documentation. If you know where or how this message is used, you can help other translators by adding documentation to this message.
Message definition (PyKeOps)
__FORCETOC__
The [https://www.kernel-operations.io/keops/index.html KeOps] library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with [[Python]] ([https://numpy.org/doc/stable/ NumPy], [[PyTorch]]), [[MATLAB]] and [[R]].

The KeOps library lets you compute reductions of large arrays whose entries are given by a mathematical formula or a neural network. It combines efficient C++ routines with an automatic differentiation engine and can be used with Python (NumPy, PyTorch), MATLAB and R.

Retrieved from "https://docs.alliancecan.ca/mediawiki/index.php?title=Translations:PyKeOps/1/en&oldid=161062"