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Comment by vthommeret

Math to Code is an interactive Python tutorial (all client-side) to teach engineers how to implement math in papers.

I was inspired to create it while taking the Fast.ai course and seeing Jeremy Howard share [0] how a "complicated" Frobenius norm equation could be implemented in a single line of Python.

Math to Code uses the Skulpt library to interpret Python in JavaScript.

It's open source here: https://github.com/vthommeret/mathtocode

I would appreciate any and all feedback!

[0] https://youtu.be/4u8FxNEDUeg?t=1390

> It's time to start reading papers. And papers look something like this, which if you're anything like me, that's terrifying. And I'm not going to lie, it's still the case when I start looking at a new paper, every single time, I think, I'm not smart enough to understand this. I just can't get past that immediate reaction. So I just look at this stuff and I go, that's not something I understand. > But then I remember, this is the Adam paper and you've all seen Adam implemented in one cell of Microsoft Excel. > 1. Even familiar stuff looks complex in a paper! > 2. Papers are important for deep learning beyond the basics, but hard to read. > 3. Learn to pronounce Greek letters.

parent vthommeret 6 years ago

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