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Technical Notes from a Data Geek.

  • May 15
    [Notes] PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

    A simple tweak to make your loss function much more adaptable

  • Mar 14
    [Notes] Understanding Visual Attention Network

    Decompose large kernel convolutions to get attention weights efficiently

  • Jan 28
    [Notes] Understanding ConvNeXt

    A ConvNet for the 2020s

  • Jan 7
    Use MPIRE to Parallelize PostgreSQL Queries

    A case study for the high-level Python multiprocessing library

  • Aug 27
    [Notes] (Ir)Reproducible Machine Learning: A Case Study

    A reminder of how easy it is to screw up when doing applied ML research

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