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Kubeflow is a Cloud Native platform for machine learning.
Please refer to the official docs at kubeflow.org
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
The Kubeflow community is guided by our Code of Conduct, which we encourage everybody to read before participating.
- Folks who want to add support for other ML frameworks (e.g. PyTorch, XGBoost, scikit-learn, etc...)
- Folks who want to bring more Kubernetes magic to ML (e.g. ISTIO integration for prediction)
- Folks who want to make Kubeflow a richer ML platform (e.g. support for ML pipelines, hyperparameter tuning)
- Folks who want to tune Kubeflow for their particular Kubernetes distribution or Cloud
- Folks who want to write tutorials/blog posts showing how to use Kubeflow to solve ML problems