JudgeGPT: An empirical research platform for evaluating the authenticity of AI-generated news. (arXiv:2601.21963 and arXiv:2601.22871)

Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker.

Replication Package for "Will It Survive? Deciphering the Fate of AI-Generated Code in Open Source"

Issue handling for Evidence-based Software Engineering: based on the publicly available data

Empirical research with AI tools. 你可以点击 Fork 按钮把本仓库复制到你的账号下。我的小红书号: 连玉君 (ID: 95085566173).

This repository includes data, code, and documentation involved in our methodological analysis of empirical studies on quantum software testing.

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

A sustainable literature review for analyzing the state and evolution of empirical research in requirements engineering using KG-EmpiRE.

Evolution of a Haskell repository and its use of monads: an exploratory study of Stackage

Sequential testing for efficient and reliable comparison of stochastic algorithms.

End-to-end Python econometric toolkit implementing Dustmann et al.'s (2025) decomposition framework for identifying the true labor market impact of immigration. Separates aggregate immigration effects into displacement, crowding-out, and selection components using 2SLS, FD-IV, and Wild Cluster Bootstrap on German social security microdata.

Julia package providing access to the Fama-French data available on the Ken French Data Library

Empirical study of over-estimation bias in DDPG vs TD3 on LunarLanderContinuous-v3.

Replication package of the research paper "Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software.

Plot metadata and timestamp metrics for your photo folders

Python framework for automatically executing measurement-based experiments on native and web apps running on Android devices

EconEmpiricalCook is a personal collection of learning notes and practical recipes for navigating empirical research in economics, focusing on research design as the core skill in the AI era.

本项目旨在探究碳排放权交易政策对中国省级数字经济发展水平的影响，采用双重差分法 (Difference-in-Differences, DID) 等计量方法进行实证研究。

End-to-End Python implementation of Massacci et al.'s (2025) novel Randomized Alpha Test for high-dimensional factor models. Features robust OLS estimation, Extreme Value Theory-based inference, Monte Carlo simulation engine, and rolling-window empirical analysis. Handles N>T panels with non-Gaussian, heteroskedastic returns.

Software Engineering content