kubeflow-examples

A repository to share extended Kubeflow examples and tutorials to demonstrate Machine Learning concepts, data science workflow, and Kubeflow deployment.

Examples

1. GitHub issue summarization using sequence-to-sequence learning by Hamel Husain

   • Machine learning: sequence-to-sequence learning, Keras, Tensorflow
   • Deployment concepts: end-to-end Kubeflow, Jupyter notebooks, shared persistent storage, Tensorflow and GPUs, Seldon core deployment, Flask front-end

2. MNIST example using S3 for Training, Serving, and Tensorboard monitoring. Automated using Argo and Kubeflow by Elson Rodriguez

   • Machine learning concepts: MNIST
   • Deployment concepts: Argo and Kubeflow automation, S3