EthicalML/sml-security
MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering
This project helps MLOps engineers quickly set up a robust and secure foundation for deploying machine learning models into production environments. It provides a pre-configured project structure that takes trained ML models and transforms them into secure, containerized ML services ready for deployment. The primary users are MLOps engineers, machine learning engineers, and platform engineers responsible for operationalizing ML.
No commits in the last 6 months.
Use this if you are an MLOps or ML engineer needing to rapidly establish a new project for deploying a machine learning model as a secure, production-ready service.
Not ideal if you are a data scientist primarily focused on model training and experimentation, or if you need to deploy models to a highly specialized, non-containerized environment.
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42
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5
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 13, 2024
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