Charmed Kubeflow Documentation
Charmed Kubeflow is an open source, end-to-end, production ready MLOps platform on top of cloud native technologies.
Charmed Kubeflow translates Machine Learning steps into complete workflows, enabling training, tuning, and shipping of ML models. It enables automation of workflows, increases quality of models, and simplifies deployment of ML workloads into production in a reliable way.
Charmed Kubeflow meets the need of building Machine Learning applications in a structured and consistent manner while contributing to higher productivity and better collaboration in Data Science teams.
For Data Scientists and Machine Learning Engineers Charmed Kubeflow provides an advanced toolkit to organise and scale their work.
In this documentation
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Tutorial Get started - a hands-on introduction to Charmed Kubeflow for new users |
How-to guides Step-by-step guides covering key operations and common tasks |
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Explanation Concepts - discussion and clarification of key topics |
Reference Technical information - specifications, APIs, architecture |
Project and community
Charmed Kubeflow is an official distribution of the Kubeflow project. It’s an open-source project that welcomes community contributions, suggestions, fixes and constructive feedback.
- Read our Code of Conduct
- Try out some Charmed Kubeflow projects
- Join the Discourse forum
- Contribute and report bugs
- Contribute to the documentation
Thinking about using Charmed Kubeflow for your next project? Get in touch!
Last updated 7 days ago.