Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
Keywords
Repository
Basic Info
- Host: GitHub
- Owner: Machine-Learning-Pipelines
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://machine-learning-pipelines.github.io/reproscreener/
- Size: 413 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
reproscreener
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
- Repositories: 1
- Profile: https://github.com/Machine-Learning-Pipelines
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
- Documentation: https://reproscreener.readthedocs.io/
- License: mit
-
Latest release: 2.0.0
published 8 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- 320 dependencies
- 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