MSPoulaei/code-smell-detection-with-LLM
the implementation of a research project focused on detecting code smells using Large Language Models (LLMs). Code smells are indicators of potential issues in software code that could affect its quality and maintainability. The project leverages advanced deep learning techniques, including multi-label classification.
No commits in the last 6 months.
Stars
5
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/MSPoulaei/code-smell-detection-with-LLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Vidhi1290/LLM---Detect-AI-Generated-Text
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated...
rbiswasfc/llm-detect-ai
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
panbibliotekar/gaidet-declaration
A beta version of the GAIDeT Declaration Generator — a lightweight HTML tool to help researchers...
beingamanforever/LLM-Text-Detection
A complete overview and insights into AI-Text detection :seedling: using the powerful...
FareedKhan-dev/Detect-AI-text-Easily
Some words that LLM regularly uses