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ml-on-code - "Introduction to ML-on-Code" workshop materials

  •    Jupyter

These are materials for a workshop on "Introduction to ML-on-Code" - a guided tour on source{d} open source technology stack for Machine Learning on Code. Slides on GDrive.

code_search - Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

  •    Jupyter

You can use these container to reproduce the environment the authors used for this tutorial. Incase it is helpful, I have provided a requirements.txt file, however, we highly recommend using the docker containers provided below as the dependencies can be complicated to build yourself. hamelsmu/ml-gpu: Use this container for any gpu bound parts of the tutorial. We recommend running the entire tutorial on an aws p3.8xlarge and using this image.






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