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.

prokube.ai examples - Notebooks, Pipelines, Experiment Tracking, Model tuning, and more

Rocks for Kubeflow Katib

Production-ready MLOps platform on MicroK8s: MLflow for tracking, Kubeflow for orchestration, and KServe for model serving. Deploy models end-to-end directly from Jupyter notebooks.