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45 repositories
- Distributed AI Model Training and Fine-Tuning on Kubernetes
mpi-operator
PublicKubernetes Operator for MPI-based applications (distributed training, HPC, etc.)- Universal Python SDK to run AI workloads on Kubernetes
- Automated Machine Learning on Kubernetes
- 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.
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
notebooks
Public- A CLI for Kubeflow.
internal-acls
Public- Machine Learning Pipelines for Kubeflow
community
Public- MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.
- Kubeflow blog based on fastpages
- Machine Learning Toolkit for Kubernetes
docs-agent
Publickfp-tekton
Public archiveKubeflow Pipelines on Tektonkubebench
Public archivefate-operator
Public archivekfctl
Public archivekfp-tekton-backend
Public archiveExperimental project plugging Tekton yaml behind KFP API and UI enginecommon
Public archive.allstar
Public archive