Check it out here.
PyPhi is a Python library to calculate integrated information, the quantity that integrated information theory identifies with consciousness.
vPhi is a web-based interface to PyPhi that allows nontechnical users to perform IIT calculations and visualize results.
The calculation of integrated information is intractable for even very small networks. One of the most useful and obvious strategies for dealing with this is to memoize the calculation, building up a database of results over time.
The purpose of Marbl is to clearly define the equivalence class of inputs for which the output of certain PyPhi subroutines remains the same, so this memoization strategy can be applied as much as possible.
Accordingly, the specification is currently implemented in Python.
Over the summer of 2012 I did some research in applied mathematics at the Illinois Institute of Technology. My research partner and I made a poster summarizing the results and presented it at a couple of conferences.
Much like a turtle, I never leave my shell. So I made it really nice!
My dotfiles are on GitHub. There’s a lot of customization for Vim and the terminal prompt. Someday I’ll package them properly, but for now there’s a half-baked approximation:
git clone https://github.com/wmayner/dotfiles.git ~/dotfiles cd ~/dotfiles rake install
The rakefile is quite old, and doesn’t install any of the various dependencies. See the README for information on those.
rake installto backup your existing dotfiles.
I first came across it when I read Chaos by James Gleick in 10th grade. Right after that, I read Hofstadter’s Gödel, Escher, Bach (like every other introspective nerd). This was my first glimpse of real mathematics. I had always thought I didn’t like math, but after seeing this I realized that I just didn’t like math class.
The Mandelbrot Set is the set of complex numbers \(c\) for which the orbit of \(0\) remains bounded under iteration of this beautifully simple equation:
A while back I made a Node.js port of a Ruby module for scraping public Pandora data.