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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