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Veritable Tech Blog
Technical Notes from a Data Geek.
[Notes] PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
A simple tweak to make your loss function much more adaptable
[Notes] Understanding Visual Attention Network
Decompose large kernel convolutions to get attention weights efficiently
[Notes] Understanding ConvNeXt
A ConvNet for the 2020s
Use MPIRE to Parallelize PostgreSQL Queries
A case study for the high-level Python multiprocessing library
[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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