Machine Learning Toolkit for Kubernetes
Machine Learning Pipelines for Kubeflow
Standardized Serverless ML Inference Platform on Kubernetes
PipelineAI
Distributed ML Training and Fine-Tuning on Kubernetes
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
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Automated Machine Learning on Kubernetes
Elyra extends JupyterLab with an AI centric approach.
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Information about the Kubeflow community including proposals and governance information.
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Kubeflow’s superfood for Data Scientists
Kubeflow Pipelines on Tekton
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Add a description, image, and links to the kubeflow topic page so that developers can more easily learn about it.
To associate your repository with the kubeflow topic, visit your repo's landing page and select "manage topics."