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 AKS.
Contributions welcome!
We do a Pull Request contributions workflow on GitHub. New users are always welcome!