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Hey! I'm Sean Aubin!

I'm a punk trained in Electrical Engineering and Theoretical Neuroscience, which means I'm a data generalist competent in Machine Learning. I have a blog that usually updates once a year.

Further details about my professional experience are (unfortunately) on LinkedIn.

Feel free to contact me via email or LinkedIn. I'm trying to avoid using Twitter and have not yet adopted another social network.

Computery Interests

  • Dynamicland: Making computing collaborative and humane by embodying it in the world.
  • Zig: Replacing C for low-level computation.
  • Oils: An upgrade path from Bash to a better shell language.

Other Interests

  • Social System Design: Designing systems (both digital and in-person) which allow for meaningful collaborations.

AFK

I run the Toronto Applied Rationality Meetup where we discuss complex topics with compassion, nuance, and mindfulness.

Sean Aubin's Projects

gui_test icon gui_test

Trying to get Selenium to work with the Nengo GUI

hrl_1.0 icon hrl_1.0

Dan Rasmussen's Hierarchical Reinforcement Learning

localhost-gitkraken icon localhost-gitkraken

This repository contains the starter code for the MLH Localhost workshop, How to Collaborate with GitKraken.

min_viz icon min_viz

Proving to myself that I'm not crazy

mlh-localhost-github icon mlh-localhost-github

This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.

mock_example icon mock_example

A basic example of using pytest and pytest-mock for testing.

nef-js icon nef-js

Showing some basics of the NEF in JavaScript

nengo-utils icon nengo-utils

Too weird to be in `nengo-extras`, but used enough to be in a seperate repo.

nengo_oatmeal icon nengo_oatmeal

Quick Nengo notebooks I don't want to lose, but don't know where to put.

nengo_usb icon nengo_usb

Collection of scripts for making a USB for Nengo suitable for offline installation

nengo_viz icon nengo_viz

Proof of concept for Nengo visualizer using Tornado

nturgb-d icon nturgb-d

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

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