ppashakhanloo/CodeTrek
A powerful relational representation of source code
CodeTrek helps machine learning researchers who are working on code analysis by transforming raw source code into a structured, relational database format. This allows for uniform representation of different programming concepts and the derivation of new relationships. The output is a structured representation that can be used to train deep learning models for various code understanding tasks.
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Use this if you are an ML researcher needing to represent source code in a flexible, relational way to train deep learning models for tasks like variable misuse detection or code classification.
Not ideal if you are looking for an out-of-the-box application for code analysis rather than a toolkit for building deep learning models for code.
Stars
33
Forks
5
Language
Python
License
—
Category
Last pushed
Sep 05, 2023
Commits (30d)
0
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