Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary

Keywords

machine-learning reproducibility transparency verification
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
machine-learning reproducibility transparency verification
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

reproscreener

GitHub Workflow Status (with branch) Codecov PyPI License

reproscreener is a tool designed to evaluate the reproducibility of papers and code to enhance trustworthy machine learning research. Please see the project website for more information.

License

Distributed under the MIT License. See LICENSE.txt for more information.

Funding

We thank the The Center for Research and Education in AI and Learning (REAL@USC) for their funding and support towards this project. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the The Center for Research and Education in AI and Learning (REAL@USC).


This material is based upon work supported by the National Science Foundation under Grant No. OAC 2138773


Owner

  • Name: Machine-Learning-Pipelines
  • Login: Machine-Learning-Pipelines
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Reproscreener
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Adhithya
    family-names: Bhaskar
    email: adhithya@usc.edu
    affiliation: University of Southern California
  - given-names: Victoria
    family-names: Stodden
    email: vcs@stodden.net
    affiliation: University of Southern California
repository-code: >-
  https://github.com/Machine-Learning-Pipelines/reproscreener
url: 'https://reproscreener.com/'
license: MIT
version: 0.1.2
date-released: '2024-02-15'

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Push event: 50
Last Year
  • Issues event: 1
  • Watch event: 1
  • Push event: 50

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.17
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • adbX (1)
Pull Request Authors
  • adbX (6)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 9 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
pypi.org: reproscreener

Automated reproducibility evaluation of research

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9 Last month
Rankings
Dependent packages count: 7.3%
Downloads: 22.8%
Average: 23.6%
Dependent repos count: 40.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
poetry.lock pypi
  • 320 dependencies
pyproject.toml pypi
  • dvc ^2.58.2 develop
  • dvc-gs ^2.22.1 develop
  • faiss-gpu ^1.7.2 develop
  • mkdocs-autorefs ^0.4.1 develop
  • mkdocs-bibtex ^2.8.16 develop
  • mkdocs-jupyter ^0.24.1 develop
  • mkdocs-macros-plugin ^0.7.0 develop
  • mkdocs-material ^9.1.13 develop
  • mkdocstrings-python ^1.0.0 develop
  • pytest ^7.3.1 develop
  • pytest-cov ^4.0.0 develop
  • pytest-mock ^3.10.0 develop
  • rank-bm25 ^0.2.2 develop
  • ruff ^0.0.269 develop
  • tiktoken ^0.4.0 develop
  • torch ^2.1.0.dev20230708+cu121 develop
  • arxivscraper ^0.0.5 extras
  • bandit ^1.7.5 extras
  • beautifulsoup4 ^4.12.2 extras
  • black ^23.3.0 extras
  • flake8 ^6.0.0 extras
  • ipywidgets ^8.0.6 extras
  • langchain ^0.0.189 extras
  • loguru ^0.7.0 extras
  • lxml ^4.9.2 extras
  • mypy ^1.3.0 extras
  • nltk ^3.8.1 extras
  • openai ^0.27.7 extras
  • pydrive2 ^1.15.3 extras
  • pylint ^2.17.4 extras
  • seaborn ^0.12.2 extras
  • shtab ^1.6.1 extras
  • types-requests ^2.30.0.0 extras
  • vulture ^2.7 extras
  • adapter-transformers ^3.2.1
  • appengine-python-standard ^1.1.1
  • arxiv ^1.4.7
  • datapane ^0.16.4
  • exrex ^0.11.0
  • feedparser ^6.0.10
  • flashtext ^2.7
  • gitpython ^3.1.31
  • gradio ^3.32.0
  • pandas 1.5.3
  • pathlib ^1.0.1
  • python =3.9.13
  • requests ^2.30.0
  • rich ^13.3.5
  • scikit-learn ^1.2.2
  • scipy ^1.10.1
  • transformers ^4.30.2
  • typer ^0.9.0
  • uritools ^4.0.1
  • urlextract ^1.8.0