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CASTLE.CSE @ HKUST, CSTAR @ WHU
- China
- https://imcsq.github.io/
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Starred repositories
BIRD-CRITIC 1.0: Can Large Language Models Solve USER SQL Issues in Real-World Database Applications?
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
An opinionated list of awesome Python frameworks, libraries, software and resources.
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables …
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Automatically clone your AtCoder submissions to your GitHub
Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
A Systematic Literature Review on Large Language Models for Automated Program Repair
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
Package for managing conda environment-based kernels inside of Jupyter
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
[LREC-COLING'24] HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
Artifact for the paper "Word Closure-Based Metamorphic Testing for Machine Translation".
Jar Obfuscator - 一个 JAR/CLASS 字节码混淆工具,支持包名/类名/方法名/字段名/参数名引用分析和重命名混淆方式,支持字符串加密/整型异或混淆/垃圾代码花指令混淆/等方式,支持方法和字段的隐藏,支持 NATIVE 层的 JVMTI 代码加密,配置简单,文档教程齐全,容易上手
Contextual Harnessing for Efficient SQL Synthesis
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
Code for the paper "Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark".
Source Code for "Exploring and Unleashing the Power of Large Language Models in Automated Code Translation"
Jigsaw Dataset: Natural language to Python Pandas code
Supporting materials for the Transport Demand Modeling course, lectured by Prof. Filipe Moura.
Introductory tutorial to Biogeme