Abstract
pyMSDtorch is a python implementation of the MSDNet developed by Sethian and Pelt [1] for image analyses, using the pytorch framework. The availability these networks in mainstream ML packages makes it easier to attach standard expansions and other approaches to make it more flexible and user friendly.
- Developers:
-
Zwart, Petrus [1] ; Roberts, Eric [1]
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Release Date:
- 2021-03-10
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Licenses:
-
Other (Commercial or Open-Source): https://bitbucket.org/berkeleylab/pymsdtorch/src/main/LICENSE
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC02-05CH11231
- Code ID:
- 63407
- Site Accession Number:
- 2021-039
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Country of Origin:
- United States
Citation Formats
Zwart, Petrus H., and Roberts, Eric.
pyMSDtorch v0.1.0.
Computer Software.
USDOE.
10 Mar. 2021.
Web.
doi:10.11578/dc.20210908.1.
Zwart, Petrus H., & Roberts, Eric.
(2021, March 10).
pyMSDtorch v0.1.0.
[Computer software].
https://doi.org/10.11578/dc.20210908.1.
Zwart, Petrus H., and Roberts, Eric.
"pyMSDtorch v0.1.0." Computer software.
March 10, 2021.
https://doi.org/10.11578/dc.20210908.1.
@misc{
doecode_63407,
title = {pyMSDtorch v0.1.0},
author = {Zwart, Petrus H. and Roberts, Eric},
abstractNote = {pyMSDtorch is a python implementation of the MSDNet developed by Sethian and Pelt [1] for image analyses, using the pytorch framework. The availability these networks in mainstream ML packages makes it easier to attach standard expansions and other approaches to make it more flexible and user friendly.},
doi = {10.11578/dc.20210908.1},
url = {https://doi.org/10.11578/dc.20210908.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210908.1}},
year = {2021},
month = {mar}
}