This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.

This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.

Everything to get industrial kubeflow applications running in production

Kubeflow Pipeline sample that uses custom docker image with private python code inside the image as base image for the pipeline components.

Moved to https://github.com/jbw/cookiecutter-kubeflow-component

This projects aims to demonstrate an MLOps level-2 systems using Kubeflow and Vertex AI. The model is a content-based recommendation system that recommends similar tracks based the artist, song tags, and playcount of the current track.