SFI reproducibility release (public)

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Authors: Dewu Gao, Ying Huang, Ao Shi, Hao Yang, Guo Wan, Xingli Li, Yong Yi
Cited by: 0

Abstract

Quick start (CPU-only) Install deps, then regenerate the reported summary numbers and released table-like CSVs: python -m pip install -r requirements.txt python scripts/reproduce_key_numbers.py --root . --out repro_outputs python scripts/reproduce_tables.py --root . --out repro_outputs/tables One-command verification Verify checksums and regenerate the expected outputs: python scripts/verify_release.py --root .

Fields of Study & Subjects

Scientific Computing and Data Management Generative Adversarial Networks and Image Synthesis Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026