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Roland Grinis 2021-08-25 09:09:55 +01:00
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kmath-noa/README.md
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# Module kmath-noa
A general purpose differentiable computation library over
A general purpose differentiable programming library over
[NOA](https://github.com/grinisrit/noa.git)
together with relevant functionality from
[LibTorch](https://pytorch.org/cppdocs).
Our aim is to cover a wide set of applications
from bayesian optimisation and deep learning to particle physics
from bayesian computation and deep learning to particle physics
simulations. In fact, we support any
differentiable program written on top of
`AutoGrad` & `ATen`.