BUTTER: An Empirical Deep Learning Experimental Framework [SWR-22-42]

RESOURCE

Abstract

BUTTER ( An Empirical Deep Learning Experimental Framework) is a system with which empirical deep learning experiments can be conducted and their results, including training and model performance characteristics, can be accumulated for further analysis.
Developers:
Tripp, Charles [1] Perr-Sauer, Jordan [1] Lunacek, Monte [1] Hayne, Lucas [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Release Date:
2022-05-13
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Jupyter Notebook
Licenses:
MIT License
Sponsoring Org.:
Code ID:
74457
Site Accession Number:
NREL SWR-22-42
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Tripp, Charles, Perr-Sauer, Jordan, Lunacek, Monte, and Hayne, Lucas. BUTTER: An Empirical Deep Learning Experimental Framework [SWR-22-42]. Computer Software. https://github.com/NREL/BUTTER-Empirical-Deep-Learning-Experimental-Framework. USDOE Laboratory Directed Research and Development (LDRD) Program. 13 May. 2022. Web. doi:10.11578/dc.20220608.2.
Tripp, Charles, Perr-Sauer, Jordan, Lunacek, Monte, & Hayne, Lucas. (2022, May 13). BUTTER: An Empirical Deep Learning Experimental Framework [SWR-22-42]. [Computer software]. https://github.com/NREL/BUTTER-Empirical-Deep-Learning-Experimental-Framework. https://doi.org/10.11578/dc.20220608.2.
Tripp, Charles, Perr-Sauer, Jordan, Lunacek, Monte, and Hayne, Lucas. "BUTTER: An Empirical Deep Learning Experimental Framework [SWR-22-42]." Computer software. May 13, 2022. https://github.com/NREL/BUTTER-Empirical-Deep-Learning-Experimental-Framework. https://doi.org/10.11578/dc.20220608.2.
@misc{ doecode_74457,
title = {BUTTER: An Empirical Deep Learning Experimental Framework [SWR-22-42]},
author = {Tripp, Charles and Perr-Sauer, Jordan and Lunacek, Monte and Hayne, Lucas},
abstractNote = {BUTTER ( An Empirical Deep Learning Experimental Framework) is a system with which empirical deep learning experiments can be conducted and their results, including training and model performance characteristics, can be accumulated for further analysis.},
doi = {10.11578/dc.20220608.2},
url = {https://doi.org/10.11578/dc.20220608.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220608.2}},
year = {2022},
month = {may}
}