kmath/kmath-noa/README.md

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# Module kmath-noa
This module provides a `kotlin-jvm` frontend for the
[NOA](https://github.com/grinisrit/noa.git)
library together with relevant functionality from
[LibTorch](https://pytorch.org/cppdocs).
Our aim is to create a Bayesian computational platform
which covers a wide set of applications from particle physics
simulations to deep learning and general differentiable programs
written on top of `AutoGrad` & `ATen`.
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## Installation
Currently, to build native artifacts, we support only
the [GNU](https://gcc.gnu.org/) toolchain. For `GPU` kernels, we require a compatible
[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
installation. If you are on Windows, we recommend setting up
everything on [WSL](https://docs.nvidia.com/cuda/wsl-user-guide/index.html).
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To install the library, simply publish it locally:
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```
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./gradlew -q :kmath-noa:publishToMavenLocal
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```