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.