This is not an officially supported Microsoft product. This project is actively being maintained.
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML on Azure Kubernetes Services.
There are a number of deployment options for running Kubeflow on AKS. To get started with deploying Kubeflow on Azure Kubernetes Service, see the deployment options section on the Kubeflow on AKS website.
For help, please consider the following venues (in order):
We welcome community contributions and pull requests.
See our contribution guide for more information on how to report issues, set up a development environment, and submit code.
We adhere to the Microsoft Open Source Code of Conduct.
See SECURITY for more information.
This project is licensed under the MIT License.