Recurrent neural network gradients by hand.
A post-mortem statistical simulation of the 2016 Colombian plebiscite.
A 9-month self-curated deep-dive into select topics in machine learning and distributed computing.
A Python library for some canonical neural networks, with a self-righteous emphasis on readability.
A web app for Spotify music recommendation using Implicit Matrix Factorization and "country arithmetic."
Implementing custom loss functions in Python using autograd.
A Scala-based web app that gives travel recommendations via Twitter data and the Jaccard similarity.
Auto-generating travel blog posts via Markovian processes.
© Will Wolf 2020
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