Metadata-Version: 2.1
Name: reproscreener
Version: 0.1.2
Summary: Automated verification of machine learning research
Home-page: https://reproscreener.com/
License: MIT
Keywords: reproducibility,machine-learning,transparency,verification
Author: Adhithya Bhaskar
Author-email: adhi@adhi.dev
Requires-Python: ==3.9.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: exrex (>=0.11.0,<0.12.0)
Requires-Dist: flashtext (>=2.7,<3.0)
Requires-Dist: gitpython (>=3.1.31,<4.0.0)
Requires-Dist: pandas (>=2.0.1,<3.0.0)
Requires-Dist: pathlib (>=1.0.1,<2.0.0)
Requires-Dist: requests (>=2.30.0,<3.0.0)
Requires-Dist: rich (>=13.3.5,<14.0.0)
Requires-Dist: typer (>=0.9.0,<0.10.0)
Requires-Dist: uritools (>=4.0.1,<5.0.0)
Requires-Dist: urlextract (>=1.8.0,<2.0.0)
Description-Content-Type: text/markdown

## 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](https://reproscreener.com/) for more information.
