kubeflow

We have hosted the application kubeflow in order to run this application in our online workstations with Wine or directly.

Quick description about kubeflow:

Kubeflow is an open source Cloud Native machine learning platform based on Google�s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container.

Wherever you may be running Kubernetes, you can run Kubeflow as well.

Features:

• Includes services to create and manage interactive Jupyter notebooks
• TensorFlow model training - provides a custom TensorFlow training job operator that you can use to train your ML model
• Model serving - supports a TensorFlow Serving container to export trained TensorFlow models to Kubernetes
• Pipelines - comprehensive solution for deploying and managing end-to-end ML workflows
• Multi-framework - various integrations and extended support

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