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A small-model replication sketch inspired by Anthropic's emotion-concept work.
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I built Stormlog after hitting the same problem too many times: memory debugging in training jobs kept turning into a fragmented workflow of ad hoc counters, partial profilers, logs that disappeared with the run, and artifacts that were hard to revisit la…
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The motivating question If you’ve ever tried to copy an object from one photo into another, you’ve seen the problem immediately: seams.
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TL;DR: On a small semantic segmentation task (Oxford-IIIT Pet) trained on a MacBook, ImageNet pretraining clearly helped more than heavier data augmentation.
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Python libraries like PyTorch, NumPy, and JAX are indispensable for handling multidimensional arrays (tensors).
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In machine learning, numbers can rage like a storm, threatening to crash your model into oblivion.
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For a long while, I've been trying to set up a personal space where I could document my learnings over the last 5 or so years, but I never got to it.