<img src="https://www.kubeflow.org/images/logo.svg" width="100">
Kubeflow the cloud-native platform for machine learning operations - pipelines, training and deployment.
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## Documentation
Please refer to the official docs at [kubeflow.org](http://kubeflow.org).
## Working Groups
The Kubeflow community is organized into working groups (WGs) with associated repositories, that focus on specific pieces of the ML platform.
* [AutoML](https://github.com/kubeflow/community/tree/master/wg-automl)
* [Deployment](https://github.com/kubeflow/community/tree/master/wg-deployment)
* [Manifests](https://github.com/kubeflow/community/tree/master/wg-manifests)
* [Notebooks](https://github.com/kubeflow/community/tree/master/wg-notebooks)
* [Pipelines](https://github.com/kubeflow/community/tree/master/wg-pipelines)
* [Serving](https://github.com/kubeflow/community/tree/master/wg-serving)
* [Training](https://github.com/kubeflow/community/tree/master/wg-training)
## Quick Links
* [Prow jobs dashboard](http://prow.kubeflow-testing.com)
* [PR Dashboard](https://k8s-gubernator.appspot.com/pr)
* [Argo UI for E2E tests](https://argo.kubeflow-testing.com)
## Get Involved
Please refer to the [Community](https://www.kubeflow.org/docs/about/community/) page.
https://github.com/kubeflow/kubeflow
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Why Plural?
Open source
Plural is community-focused, open source, and free to use.
Deploy on Kubernetes
Deploy OSS on Kubernetes right on your own cloud.
No vendor lock-in
Eject your configuration whenever—no commitment necessary.
Day 2 operations
Application-specific runbooks and dashboards.
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