Home of CodeT5: Open Code LLMs for Code Understanding and Generation
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Updated
Jan 20, 2024 - Python
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Open-source framework for holistic, structured repository-level documentation across multilingual codebases
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
Generalist Software Agents to Solve Soware Engineering Tasks
Neural search engine for discovering semantically similar Python repositories on GitHub
you cannot fart without art
Code visualization for non-programmers. A docent for your codebase.
[NeurIPS'25] Evaluating Program Semantics Reasoning with Type Inference in System F
Tag source files with real-world stories.
Structure-first pipeline that transforms GitHub repositories into question-indexed, graph-grounded semantic assets for code search, Graph-RAG, and LLM-based reasoning.
IEEE 2023 | SCALE: Semantic Code Analysis via Learned Embeddings
Snapshot an entire repo or directory as plaintext on the clipboard and paste to your favorite AI tool!
코드 유사성 판단 시즌2 AI 경진대회, DACON (2024.03.04 ~ 2024.04.01)
AI agent that reads a codebase file by file, builds a living Markdown reference doc, and maps how everything connects — using a wire model to track and resolve dependencies incrementally.
Visualizing relationships in code repos as graphs.
Python Code Flow Graph Maker - Static analysis tool that generates dependency graphs for Python codebases using AST parsing, tracks I/O operations, and creates interactive visualizations.
Conversational AI code assistant powered by Mistral & RAG. Explore codebases through natural language—ask questions, find functions, understand logic, and generate documentation. Uses vector embeddings for semantic search. Runs locally with Ollama for complete privacy. Zero API costs, your code never leaves your machine.
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