Building a Fully Open-Source Stack to Analyze Code of 60M+ Software Projects Using Deep Learning

We show the fully open source stack built to discover and fetch all of the world's public git repositories, turn the code into a universal AST, the kinds of neural network architectures that perform well on source code, and the tools built to deal with such a large and unique data set.