awesome-mlops/awesome-mlops-kubernetes
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Managing and operating machine learning models in a production environment can be complex. This project helps ML engineers and data scientists discover tools to streamline tasks like training, deployment, monitoring, and version control for their machine learning models. It provides a curated list of solutions that integrate with Kubernetes infrastructure.
No commits in the last 6 months.
Use this if you are an ML engineer or data scientist looking for open-source or commercial tools to build a robust MLOps pipeline on Kubernetes.
Not ideal if you are a data analyst or business user simply looking to apply pre-trained models without needing to manage their underlying infrastructure.
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Last pushed
Apr 20, 2022
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