kmath/kmath-noa/README.md

Module kmath-noa

A Bayesian computation library over NOA together with relevant functionality from LibTorch.

Our aim is to cover a wide set of applications from particle physics simulations to deep learning. In fact, we support any differentiable program written on top of AutoGrad & ATen.

Installation

Currently, to build native artifacts, we support only the GNU toolchain. For GPU kernels, we require a compatible CUDA installation. If you are on Windows, we recommend setting up everything on WSL.

To install the library, simply publish the modules kmath-tensors and kmath-noa locally:

./gradlew -q :kmath-tensors:publishToMavenLocal :kmath-noa:publishToMavenLocal