A repository to share extended Kubeflow examples and tutorials to demonstrate machine learning concepts, data science workflows, and Kubeflow deployments. They illustrate the happy path, acting as a starting point for new users and a reference guide for experienced users.
This repository is home to three types of examples:
Author: Hamel Husain
This example covers the following concepts:
- Natural Language Processing (NLP) with Keras and Tensorflow
- Connecting to Jupyterhub
- Shared persistent storage
- Training a Tensorflow model
- CPU
- GPU
- Serving with Seldon Core
- Flask front-end
Author: Elson Rodriguez
This example covers the following concepts:
- Image recognition of handwritten digits
- S3 storage
- Training automation with Argo
- Monitoring with Argo UI and Tensorboard
- Serving with Tensorflow
| Source | Example | Description |
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