Embeddings of Python Libraries
In this project, we study different ways to create embeddings of Python libraries. Such embeddings would allow us to discover similar libraries, and also suggest relevant libraries to developers based on their used ones. Also, in this work we are compiling a benchmark that would allow us to automatically compare different embeddings between each other from the standpoint of providig relevant similar suggestions.
The repository of the project is available on GitHub.