src-d/models
Machine learning models for MLonCode trained using the source{d} stack
These models help developers analyze and understand large codebases. They take source code as input and can identify if a developer is a bot, extract meaningful features like identifier embeddings or topic representations, and even suggest typo corrections. A developer working on code analysis, refactoring, or community management would find these tools useful.
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Use this if you need to programmatically analyze source code for specific characteristics, such as identifying bot activity in developer contributions or understanding the thematic content of code repositories.
Not ideal if you are looking for a complete application with a user interface, as these are foundational machine learning models requiring programming knowledge to integrate and use.
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Oct 30, 2019
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