Signal Processing Library for Interference rejecTion via Machine Learning.
Set up Anaconda environment:
conda env create -f environment.yml
Activate environment:
conda activate splitml
Install Pytorch 1.12 (see Pytorch website for OS, CPU/GPU options):
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Install splitml package locally:
pip install -e .
The code is organized as:
- The
splitml/directory contains the package source code. - The
results/directory contains derivative products of using the source code. - The
examples/directory contains example scripts and notebooks for using the package.
© 2022. Triad National Security, LLC. All rights reserved. This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.