Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
MLOps Python Package is a Python project template for organizing machine-learning operations and data-pipeline code. Data scientists and engineers use it as a starting point for workflows such as experiment tracking, model registries, and real-time inference.
Latest release v7.0.2 · 24 Oct 2026
1 file for Codex and OpenCode: mlops-python-package AGENTS.md — 1,423 tokens loaded in every session.
AGENTS.md A 1,423 tok These files are fmind/mlops-python-package's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.