This repo should be publicly available. To develop these examples we used the Google Cloud Platform Distribution running Kubeflow version 1.8. The KFP version was kfp 2.4.0. The notebook image we used was kubeflownotebookswg/jupyter-scipy:v1.8.0
The containers are all hosted in Dockerhub, but we provide the docker files and component files required to build these components yourself. To use this code simply create a Jupyter notebook in your Kubeflow 1.8 environement using the jupyter-scipy:v1.8.0 image. Then, clone this git repo. Once the repo has been cloned to your local environment, navigate to the directory of your choice based on the component you'd like to explore, click on the Jupyter Notebook (I.E. hello_kubeflow), read the notebook, and launch each cell in order.
If you run into issues with code and examples please either submit an issue to the repo directly or make a comment on the forums. We are more than