kubeflow/kubeflow
kubeflow
Machine Learning Toolkit for Kubernetes
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kubeflow
kubeflow • individual
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Created
Nov 30, 2017
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README Summary
Kubeflow is a machine learning toolkit for Kubernetes that makes deployments of ML workflows on Kubernetes simple, portable and scalable. It provides a comprehensive platform for developing, training, and serving machine learning models in cloud-native environments. The project aims to make machine learning accessible to everyone by leveraging Kubernetes orchestration capabilities.
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Updated 3 months ago
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Timeline
- Project created
- Nov 30, 2017
- Forked
- Mar 22, 2026
- Your last push
- 3 months ago
- Upstream last push
- 3 months ago
- Tracked since
- Jan 5, 2026
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