forked from kscience/kmath
14 lines
520 B
Markdown
14 lines
520 B
Markdown
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# Module kmath-noa
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This module provides a `kotlin-jvm` frontend for the
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[NOA](https://github.com/grinisrit/noa.git)
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library together with relevant functionality from
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[LibTorch](https://pytorch.org/cppdocs).
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Our aim is to create a Bayesian computational platform
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which covers a wide set of applications from particle physics
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simulations to deep learning and general differentiable programs
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written on top of `AutoGrad` & `ATen`.
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Currently, the native artifacts support only `GNU` and
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`CUDA` for GPU acceleration.
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