TorchMetrics - Measuring Reproducibility in PyTorch

TorchMetrics - Measuring Reproducibility in PyTorch - Published in JOSS (2022)

https://github.com/pytorchlightning/metrics

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 7 months ago · JSON representation

JOSS Publication

TorchMetrics - Measuring Reproducibility in PyTorch
Published
February 11, 2022
Volume 7, Issue 70, Page 4101
Authors
Nicki Skafte Detlefsen ORCID
Grid AI Labs, Technical University of Denmark
Jiri Borovec ORCID
Grid AI Labs
Justus Schock ORCID
Grid AI Labs, University Hospital Düsseldorf
Ananya Harsh Jha
Grid AI Labs
Teddy Koker
Grid AI Labs
Luca Di Liello
University of Trento
Daniel Stancl
Charles University
Changsheng Quan
Zhejiang University
Maxim Grechkin
Independent Researcher
William Falcon
Grid AI Labs, New York University
Editor
Bita Hasheminezhad ORCID
Tags
python deep learning pytorch