paperswithcode/releasing-research-code
A curated set of guidelines and a README template for publishing Machine Learning research code, based on analysis of over 200 popular ML repositories.
★2.9k stars Learning
Not currently ranked — collecting fresh signals.
star history
This repository contains best practices and official NeurIPS recommendations for releasing ML research code. It includes an ML Code Completeness Checklist covering dependency specification, training/evaluation code, pre-trained models, and documented results with reproducible commands. The project also provides a README.md template derived from analyzing popular ML repositories to help researchers maximize code usability and reproducibility.
Frequently asked
- What is paperswithcode/releasing-research-code?
- A curated set of guidelines and a README template for publishing Machine Learning research code, based on analysis of over 200 popular ML repositories.
- Is releasing-research-code open source?
- Yes — paperswithcode/releasing-research-code is open source, released under the MIT license.
- How popular is releasing-research-code?
- paperswithcode/releasing-research-code has 2.9k stars on GitHub.
- Where can I find releasing-research-code?
- paperswithcode/releasing-research-code is on GitHub at https://github.com/paperswithcode/releasing-research-code.