[D] Advanced Takeaways from fast.ai book

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/MachineLearning

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  • GitHub repo TextAttack

    TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

    Text data augmentation - negate words, replace words with similes, perturb word embeddings (nice github repo for this)

  • GitHub repo pytorch-lightning

    The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

    Lower precision training can help and on pytorch lightning is just a simple flag you can set

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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