Idea is to make upgrade process to TensorFlow 2.0 of your Jupyter notebooks even easier!

javascript:(function(){ window.open(window.location.toString().replace(/.*github\.com\/(.*)/, 'http://tf2up.ml/\$1')); })()

This project is standing on the shoulders of giants:

• TensorFlow's tf_upgrade_v2 with brand new support of inline jupyter notebook conversion
• nbdime for generating nice diffs for before and after
• Kubernetes + Helm for deploying this tiny service

In order to run locally:

Main part: we need to build a docker image and run with local NBDIME_URL

make build -e

Start nbdime container in a separate terminal

make nbbuild nbrun

Now you can run the docker image with

make run

Thanks to all amazing people, that in one or another way helped this project:

• @DynamicWebPaige for supporting and making TF community awesome
• Daria Korkuna for creating the logo
• Jun Santos for frontend revamp
• Martin Wicke for TF2, cake, and feedback
• Jerry Kurata for testing the early versions of the upgrader

@misc{tf2up,
    author = {Sergii Khomenko},
    title = {tf2up.ml: TensorFlow 2.0 upgrader service},
    howpublished = {\url{https://github.com/lc0/tf2up}}
}

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