Kubeflow
Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes
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Showing 10 of 42 repositories
- model-registry Public
Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.
- spark-operator Public
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
- community Public
Information about the Kubeflow community including proposals and governance information.
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