A Python based scraper to download Python source code from Github and train an RNN to generate source code. I have no hopes that the code generated will be useful, or even valid, but it's a fun experiment nonetheless.
I could not find any dataset of source code, so I scraped it myself. The scraper.py does the magic. To keep things sane, we're only interested in keras code written in python that have more than 500 stars. The rationale being that well written code is more likely to be written correctly (not exactly proof, but a close enough approximation).
A super big shoutout to Max Woolf for creating the textgenrnn package. It made my life considerably easier and I highly recommend it for quick and dirty projects.