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Dev tools · July 14, 2019

Code search using Deep Learning (code with 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 - chnsh/deep-semantic-code-search

Code search using Deep Learning (code with paper) launched on July 14, 2019 with 15 votes, #766 of 3,007 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 7 years on.

Visit github.com ↗Alternativestop 25% of July 2019

In plain words

Code search using Deep Learning is a developer tool that uses machine learning to search codebases. It's designed for developers who need to find relevant code snippets efficiently. The tool is based on research work and includes accompanying academic papers. Available on GitHub, it offers an alternative to traditional keyword-based code search by leveraging deep learning models to understand code semantics and context.

written from the facts on this page · September 2026

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