Machine Learning Pipelines for Kubeflow

Kubeflow's public website

Test infrastructure and tooling for Kubeflow.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Repository used to main group ACLs used by Kubeflow developers

Documentation for Kubeflow on Google Cloud

Application metadata descriptor CRD

Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos

A repository for Kustomize manifests

Machine Learning Toolkit for Kubernetes

Repository for hyperparameter tuning

Training operators on Kubernetes.

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

Reports on the licenses used by a Go package and its dependencies.

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

A conda-smithy repository for kfp.

Run in all nodes of your cluster before the cluster starts - lets you customize your cluster

Test infrastructure for the Kubernetes project.

TFX is an end-to-end platform for deploying production ML pipelines

Information about the Kubeflow community including proposals and governance information.

Multipass orchestrates virtual Ubuntu instances

Simple scripts and instructions for getting the most out of your kubeflow cluster. Use kubernetes-tools to setup and manage Kubernetes using Microk8s or Charmed Kubernetes.