mlops-python-package and mlops-templates
These are complements: the Python package template provides a standardized structure for MLOps projects that can be deployed using the Azure MLOps templates as the cloud infrastructure and orchestration layer.
About mlops-python-package
fmind/mlops-python-package
A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.
This package helps MLOps engineers, data scientists, and machine learning engineers standardize and accelerate their machine learning operations. It provides a structured Python codebase as a starting point, integrating best practices for everything from data handling to model deployment. You start with a pre-configured template, add your specific machine learning models and data, and get a robust, production-ready system for your AI initiatives.
About mlops-templates
Azure/mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
This helps data science teams and MLOps engineers streamline the deployment of machine learning models into production on Azure. It provides pre-built, enterprise-ready templates that take your trained models and associated code, and output robust, scalable, and manageable machine learning operations pipelines.
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