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My main OS project is Kale, a tool to streamline and simplify the deployment process of Kubeflow Pipelines workflows directly from a Data Scientists Jupyter Notebook. Check it out on my GitHub profile!

I would also love to contribute directly to the Kubeflow project in general.

Featured work

  1. kubeflow-kale/jupyterlab-kubeflow-kale

    JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment

    TypeScript 17
  2. StefanoFioravanzo/mx-operator

    Tools for ML/MXNet on Kubernetes. Rework of original tf-operator to support MXNet framework.

    Go
  3. StefanoFioravanzo/dl-operator

    General purpose Kubernetes operator for DL frameworks written in Python

    Python
  4. StefanoFioravanzo/distributed-deeplearning-kubernetes

    Collection of resources for automatic deployment of distributed deep learning jobs on a Kubernetes cluster

    Python 2
  5. Adalitix/adalitix

    Precision Agriculture Toolkit

    Python 3

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