OPEN SOURCEPUBLISHED
AIAC MLOps Experiment Runner Template & GitHub Actions Suite
Abstract
Turnkey CI/CD GitHub Actions workflow for machine learning repositories that captures GPU VRAM usage via Prometheus exporters, validates deterministic random seeds, and computes dataset SHA-256 hashes on every commit.
Cite this Work
@techreport{aiac_osr_2026_02,
title = {AIAC MLOps Experiment Runner Template & GitHub Actions Suite},
author = {Arjun S., Karthik P.},
institution = {AI & Analytics Club Research Division},
year = {2026},
url = {https://aiac.siddharthgupta.com.np/outputs/osr-2026-02}
}License & Open Access
Distribution: This work is released under MIT. You are free to share and adapt the material provided appropriate attribution is credited to AIAC and original student authors.
