[D] Advanced Takeaways from fast.ai book

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

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  • 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)

  • pytorch-lightning

    Discontinued Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning] (by PyTorchLightning)

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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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