Kubeflow
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pipelines Public
Machine Learning Pipelines for Kubeflow
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internal-acls Public
Repository used to main group ACLs used by Kubeflow developers
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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.
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sdk Public
Universal Python SDK to run AI workloads on Kubernetes
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notebooks Public
Kubeflow Notebooks runs interactive development environments for AI, ML, and Data workloads on Kubernetes.
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dashboard Public
Kubeflow Central Dashboard is the web interface for Kubeflow
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trainer Public
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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katib Public
Automated Machine Learning on Kubernetes