Change the repository type filter
All
Repositories list
44 repositories
- 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.
- A CLI for Kubeflow.
- Machine Learning Pipelines for Kubeflow
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
- Universal Python SDK to run AI workloads on Kubernetes
- Distributed AI Model Training and Fine-Tuning on Kubernetes
- MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.
- Automated Machine Learning on Kubernetes
mpi-operator
PublicKubernetes Operator for MPI-based applications (distributed training, HPC, etc.)- Kubeflow blog based on fastpages
- Machine Learning Toolkit for Kubernetes
- Kubeflow Pipelines on Tekton
fate-operator
Public archive- Experimental project plugging Tekton yaml behind KFP API and UI engine
common
Public archive