deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
-
Updated
May 11, 2024 - Shell
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
Kustomize manifest to deploy kubeflow pipelines in AWS
🪐 1-click Kubeflow using ArgoCD
Instructions for deploying Kubeflow on EKS and minikube
Config files for setting up Multitenant Kubeflow on AWS with spot instances
K3ai plugins Repo is the place where we host all the optional capabilites of k3ai. The main goal of the repo is to mantainer k3ai simple and lightweight while adding capabilites in the form of manifests or helm charts.
Collection of `Dockerfiles` for building custom Jupyter Notebook images compatible with Kubeflow
Easy kubernetes deployments and guides from uhstray.io
Kubeflow deployment powered by ArgoCD
GitOps cluster template for scientific data analysis
Simple docker container to get dcos with k8s and kubeflow
Kubeflow on Amazon Elastic Kubernetes Service (EKS) secured by Amazon Cognito
Vanilla implementation of Kubeflow on Amazon EKS
minikube pipeline
microk8s pipeline
kind k8s pipeline
kubeflow pipeline
Add a description, image, and links to the kubeflow topic page so that developers can more easily learn about it.
To associate your repository with the kubeflow topic, visit your repo's landing page and select "manage topics."