kubeflow

model-registry

Go 0 0

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 2025-07-16 16:37:04 +08:00

spark-operator

Go 0 0

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

kubernetes kubernetes-operator spark apache-spark kubernetes-crd google-cloud-dataproc kubernetes-controller

Updated 2025-07-15 05:14:43 +08:00

mpi-operator

Go 0 0

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

kubernetes kubeflow tensorflow pytorch mpi apache-mxnet distributed-computing horovod

Updated 2025-07-12 14:24:39 +08:00

internal-acls

Go 0 0

Repository used to main group ACLs used by Kubeflow developers

Updated 2025-07-12 11:38:03 +08:00

arena

Go 0 0

A CLI for Kubeflow.

kubernetes docker kubeflow tensorflow deep-learning

Updated 2025-06-06 20:24:03 +08:00