Kubeflow
Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes
Pinned Repositories
arena
A CLI for Kubeflow.
community
Information about the Kubeflow community including proposals and governance information.
examples
A repository to host extended examples and tutorials
katib
Automated Machine Learning on Kubernetes
kubeflow
Machine Learning Toolkit for Kubernetes
manifests
Kubeflow Deployment Manifests
pipelines
Machine Learning Pipelines for Kubeflow
sdk
Kubeflow SDK for ML Experience
spark-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
trainer
Distributed AI Model Training and Fine-Tuning on Kubernetes
Kubeflow's Repositories
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
kubeflow/spark-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
kubeflow/trainer
Distributed AI Model Training and Fine-Tuning on Kubernetes
kubeflow/katib
Automated Machine Learning on Kubernetes
kubeflow/examples
A repository to host extended examples and tutorials
kubeflow/manifests
Kubeflow Deployment Manifests
kubeflow/arena
A CLI for Kubeflow.
kubeflow/mpi-operator
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
kubeflow/fairing
Python SDK for building, training, and deploying ML models
kubeflow/kfctl
kfctl is a CLI for deploying and managing Kubeflow
kubeflow/kfp-tekton
Kubeflow Pipelines on Tekton
kubeflow/community
Information about the Kubeflow community including proposals and governance information.
kubeflow/website
Kubeflow Website
kubeflow/model-registry
Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.
kubeflow/kubebench
Repository for benchmarking
kubeflow/xgboost-operator
Incubating project for xgboost operator
kubeflow/mcp-apache-spark-history-server
MCP Server for Apache Spark History Server. The bridge between Agnetic AI and Apache Spark.
kubeflow/testing
Test infrastructure and tooling for Kubeflow.
kubeflow/common
Common APIs and libraries shared by other Kubeflow operator repositories.
kubeflow/notebooks
Kubeflow Notebooks lets you run web-based development environments on your Kubernetes cluster by running them inside Pods.
kubeflow/fate-operator
Fate operator
kubeflow/blog
Kubeflow blog based on fastpages
kubeflow/internal-acls
Repository used to main group ACLs used by Kubeflow developers
kubeflow/sdk
Kubeflow SDK for ML Experience
kubeflow/kfserving-lts
kubeflow/dashboard
Kubeflow Central Dashboard is the web interface for Kubeflow
kubeflow/kfp-tekton-backend
Experimental project plugging Tekton yaml behind KFP API and UI engine
kubeflow/.allstar
kubeflow/docs-agent
Kubeflow Documentation AI Agent to power the Kubeflow Website