You want to contribute to Kubeflow examples? That's awesome! Please refer to the short guide below.
The Kubeflow project is dedicated to making machine learning on Kubernetes simple, portable and scalable. We need your support in making this repo the destination for top models and examples, which show the power of Kubeflow. We have created an initial list of proposed manifests. Please feel free to self-assign these examples, by following a simple 3 step process:
- Identify an example in table below and put your github id against it
- Create a Github issue with the details of the example and self-assign
- Send a PR to this repo with the actual work for the example
We have assigned priorities to the items below. See priority guidance:
- P0: Very important, try to self-assign if there is a P0 available
- P1: Important, try to self-assign if there is no P0 available
- P2: Nice to have
| Example | What does it accomplish? | Priority | Priority reasoning | ML framework | Owner (github_id) | Company | PR link |
|---|---|---|---|---|---|---|---|
| TensorFlow serving end-to-end | How to perform TensorFlow serving on Kubeflow e2e | P0 | TODO | TensorFlow | TODO | TODO | TODO |
| Zillow housing prediction | Zillow's home value prediction on Kaggle | P0 | High prize Kaggle competition w/ opportunity to show XGBoost | XGBoost | puneith | TODO | |
| Mercari price suggestion challenge | Automatically suggest product proces to online sellers | P0 | |||||
| Airbnb new user bookings | Where will a new guest book their first travel experience |