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.
Updated 2025-08-19 23:41:05 +08:00
Workflow Engine for Kubernetes
kubernetes
cncf
hacktoberfest
cloud-native
gitops
machine-learning
knative
k8s
mlops
argo
pipelines
batch-processing
dag
data-engineering
airflow
workflow
argo-workflows
workflow-engine
Updated 2025-07-18 09:03:10 +08:00