Map / Engineering / MLOps & Training / Kubeflow
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Kubeflow is an open-source (Apache-2.0), Kubernetes-native platform for machine learning and AI workloads, made of modular components: Pipelines for portable ML workflows, Notebooks, Trainer for distributed training and fine-tuning, Katib for hyperparameter tuning and AutoML, Hub for model registry, a Spark Operator and a central dashboard. It is a CNCF graduated project.
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