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An open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.
A unified Python interface for constructing and managing workflows across engines like Argo Workflows, Tekton Pipelines, and Apache Airflow.
A book teaching practical patterns for building scalable and reliable distributed machine learning systems using Kubernetes, TensorFlow, Kubeflow, and Argo Workflows.
A GitHub Action that submits Argo Workflows from GitHub Actions to enable CI/CD for machine learning on Kubernetes.
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