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.
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
Does a similar job
all alternatives →
Deep Semantic Code Search2019 · github.com · ▲6Deep 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
- ESExperimental Semantic Code Explorer2021 · artifacts.bypaulshen.com · ▲117
an exploration in reading and understanding code
Codesearch.ai – Semantic Code Search2022 · codesearch.ai · ▲15codesearch.ai - Fuels code search engines and repository exploration ai.. codesearch.ai is a premium .ai domain available for immediate purchase. Buy...

SeaGOAT – local, “AI-based” grep for semantic code search2023 · github.com · ▲240local-first semantic code search engine. Contribute to kantord/SeaGOAT development by creating an account on GitHub.
- DTDetecting the Programming Language of Code Using ML and Neural Networks2016 · danielheres.space · ▲53
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