domains / families / research / neurips-reproducibility
Use when strengthening NeurIPS reproducibility evidence, aligning Paper Checklist answers with the paper, writing code/data instructions, setting random-seed and compute disclosure, or deciding whether the MLRC/TMLR reproducibility route fits better than the main track or Datasets & Benchmarks track.
| Repository | Path |
|---|---|
| brycewang-stanford/Awesome-Journal-Skills | NeurIPS-Skills/skills/neurips-reproducibility/SKILL.md |