forked from kscience/kmath
.. | ||
build.gradle.kts | ||
README.md |
Module kmath-noa
This module provides a kotlin-jvm
frontend for the
NOA
library together with relevant functionality from
LibTorch.
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
.
Currently, the native artifacts support only GNU
and
CUDA
for GPU acceleration.