Multi-Task Learning Software Suite

RESOURCE

Abstract

Software suite with multitask learning models. The pipeline includes functionality to process data, train, evaluate models, and generate reports.
Developers:
Goncalves, Andre [1] Soper, Braden [1] Widemann, David [1] Ray, Priyadip [1] Sales, Ana [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Release Date:
2019-01-01
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
MIT License
Sponsoring Org.:
Code ID:
27809
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Goncalves, Andre, Soper, Braden C., Widemann, David P., Ray, Priyadip, and Sales, Ana P. Multi-Task Learning Software Suite. Computer Software. https://github.com/LLNL/MTL-suite. USDOE National Nuclear Security Administration (NNSA). 01 Jan. 2019. Web. doi:10.11578/dc.20190715.8.
Goncalves, Andre, Soper, Braden C., Widemann, David P., Ray, Priyadip, & Sales, Ana P. (2019, January 01). Multi-Task Learning Software Suite. [Computer software]. https://github.com/LLNL/MTL-suite. https://doi.org/10.11578/dc.20190715.8.
Goncalves, Andre, Soper, Braden C., Widemann, David P., Ray, Priyadip, and Sales, Ana P. "Multi-Task Learning Software Suite." Computer software. January 01, 2019. https://github.com/LLNL/MTL-suite. https://doi.org/10.11578/dc.20190715.8.
@misc{ doecode_27809,
title = {Multi-Task Learning Software Suite},
author = {Goncalves, Andre and Soper, Braden C. and Widemann, David P. and Ray, Priyadip and Sales, Ana P.},
abstractNote = {Software suite with multitask learning models. The pipeline includes functionality to process data, train, evaluate models, and generate reports.},
doi = {10.11578/dc.20190715.8},
url = {https://doi.org/10.11578/dc.20190715.8},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20190715.8}},
year = {2019},
month = {jan}
}