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Roland Grinis 2021-07-13 09:42:40 +01:00
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kmath-noa/README.md
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@ -5,12 +5,13 @@ A Bayesian computation library over
together with relevant functionality from together with relevant functionality from
[LibTorch](https://pytorch.org/cppdocs). [LibTorch](https://pytorch.org/cppdocs).
Our aim is to cover a wide set of applications from particle physics Our aim is to cover a wide set of applications
simulations to deep learning. In fact, we support any from deep learning to particle physics
simulations. In fact, we support any
differentiable program written on top of differentiable program written on top of
`AutoGrad` & `ATen`. `AutoGrad` & `ATen`.
## Installation ## Installation from source
Currently, we support only Currently, we support only
the [GNU](https://gcc.gnu.org/) toolchain for the native artifacts. the [GNU](https://gcc.gnu.org/) toolchain for the native artifacts.