# code

Some open-source software that I maintain.

This Python package is a PyTorch framework for digging into the inner workings of hierarchical visual models (e.g. deep nets). The part of the package to which I contribute most is synthesize/eigendistortion and models in the simulate branch. It is a fun mix of machine learning and numerical linear algebra.

I started learning Python in 2015 by working through the textbook “Analyzing neural time series data” by Mike Cohen, and translating all of its code from MATLAB. There’s a ton of nice signal processing tools in here, and to my surprise it now has over 120 stars on GitHub.

All code from blog posts will be pushed to this repo.