AlexIoannides/kubernetes-mlops
MLOps tutorial using Python, Docker and Kubernetes.
This project helps data scientists deploy their machine learning models as live prediction services. You provide a trained Python ML model and some configuration files (like a Dockerfile), and it shows you how to turn it into a web-based API that can make predictions from new data. This is for data scientists who build models and need to get them working in a production environment, accessible to other systems.
410 stars. No commits in the last 6 months.
Use this if you are a data scientist who needs to move a Python machine learning model from your development environment to a continuously available, scalable production service.
Not ideal if you are looking for an in-depth, comprehensive guide to Kubernetes or Docker, or if you already use a fully automated MLOps platform for deployments.
Stars
410
Forks
112
Language
Python
License
MIT
Category
Last pushed
Oct 18, 2024
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