Machine Learning Pipelines for Kubeflow

Elyra extends JupyterLab with an AI centric approach.

Kubeflow’s superfood for Data Scientists

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

K3ai is a lightweight, fully automated, AI infrastructure-in-a-box solution that allows anyone to experiment quickly with Kubeflow pipelines. K3ai is perfect for anything from Edge to laptops.

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.

Kedro Plugin to support running workflows on Kubeflow Pipelines

Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.

☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.

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

Common pipeline-editor components used in different clients (e.g. Elyra application, Web browser extensions, etc)

This repository is no longer maintained.

End-to-end MLOps architecture built for polyp segmentation — featuring distributed Ray training, MLflow experiment tracking, and automated CI/CD with Kubeflow Pipelines and KServe (Triton) deployment on Google Kubernetes Engine.

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

Kustomize manifest to deploy kubeflow pipelines in AWS

kubeflow example

🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow

JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment

MLOps Implementing "Brain Computer Interface" on Kubernetes

A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.

Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/

Analyzing flight delay and weather data using Elyra, IBM Data Asset Exchange, Kubeflow Pipelines and KFServing

Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline

Tutorials, Examples about Kubeflow Pipeline.

Boilerplate code for setting up a Kubeflow pipeline to run in Cloud Vertex AI Pipelines.

Documentation for Kubeflow on Google Cloud

example of using GitOps with Kubeflow Pipelines from deployKF

Experimental project plugging Tekton yaml behind KFP API and UI engine

The custom JupyterLab notebook images for Kubeflow