CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

《AI 辅助软件工程：实践与案例解析》是一本如何使用 AI 辅助软件工程的开源电子书

Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)

RepairAgent is an autonomous LLM-based agent for software repair.

FPLearner is a DL-based tool to predict performance and accuracy of mixed-precision programs that can be used in dynamic precision tuners to save time.

This repository provide the studies on the security of language models for code (CodeLMs).

On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study

Datasets and models for TD detection in Java using comment and source code

Journey to the WEST (trustWorthy intElligent Software developmenT)

Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022

An Extendable Framework for Code Generation and AI4SE Research