ComputerWit
@ComputerWit
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Machine Learning Engineer at @tryolabs. I also like logic, compilers, programming languages, and the occasional philosophy of language.
Uruguay
Joined December 2020
Say you have a classification model with an accuracy of 98%, while the current manual system you're replacing is 98.7% accurate. Is the model good enough to put in production? Obviously that's not enough information, but what *is* enough information?
compwit.wordpress.com
You are developing a Machine Learning model for an application in the industry. How do you measure the model’s performance? How do you know whether the model is doing its job correctly? In my…
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After working with @PyTorch's TorchServe for a bit (And doing a full 360 love it, hate it, love it cycle) I wrote on how to customize it so people could extend it even further. And hopefully spare a few headaches. Go check it out! https://t.co/bm4LfdRtYQ
pento.ai
Learn how to develop advanced custom handlers for PyTorch's TorchServe. This guide walks you through creating tailored inference handlers, managing model artifacts with torch-model-archiver, and...
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Yesterday I found myself googling how to download multiple files from #AWS S3 in parallel using #Python After not finding anything reliable and spending a couple of hours on it, I wrote a post about what I learned and how to do it https://t.co/ZmdaMwfbAz
emasquil.github.io
Yesterday I found myself googling how to do something that I’d think it was pretty standard: How to download multiple files from AWS S3 in parallel using Python? After not finding anything reliable...
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Searching for optimal classification thresholds (e.g. for building decision trees) can be done neatly in log-linear time. The underlying idea of how to do it turns out to be useful in a bunch of unexpected cases.
compwit.wordpress.com
Binary classification problems (target/non-target) are often modeled as a pair $latex (f, \theta) &s=1$ where $latex f : \mathbb{R}^D \to [0, 1] &s=1$ is our model, which maps input vectors…
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I wrote about abusing python's arbitrarily large ints to store entire lists in them using Gödel Numbering.
compwit.wordpress.com
Python’s default ints, unlike in C, Rust or Go, are of arbitrary size.1,2 What that means is there’s no absolute maximum value your ints can store. They’ll grow as long as they fi…
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