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
This repository provide the studies on the security of language models for code (CodeLMs).
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)
Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?
RepairAgent is an autonomous LLM-based agent for software repair.
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022
Datasets and models for TD detection in Java using comment and source code
Must-read papers on Repository-level Code Generation 🔥
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.
Journey to the WEST (trustWorthy intElligent Software developmenT)
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