Deep Semantic Code Search
Code for Paper: Paper
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application.
In these experiments, there are 2 parts:
- The first one uses an approach suggested in  and we train their architecture on our own python dataset.
- The second approach expands on the first one through methodology suggested in  and we achieve reasonably good results.
We can observe that some sort of semantic information is captured the results:
Instructions on reproducing our results
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