Unified solution for SemEval-2026 Task 13: GenAI Code Detection & Attribution. A modular framework covering Subtasks A (Detection), B (Authorship), and C (Mixed-Source Analysis), designed to distinguish and analyze LLM-generated vs. Human code with a centralized pipeline.

Advanced machine learning system for detecting whether code was written by artificial intelligence or humans. Features intelligent ensemble models, GitHub repository analysis, and comprehensive explainability with smart contradiction detection.

Codify - Auto detect & highlight & compile raw text source codes in web

A tiny byte-level multi-head content classifier (~1.5M params, ~200KB ONNX, <6ms). Classifies code, text, markup, config, images, binary, secrets, 62 code languages, 30 text languages, 90 MIME types from raw bytes — no tokenizer needed.

CodeCheck is a python app that scans an entire project’s directory and codebase to detect what files and % of it are vibecoded.

Detect and filter auto-generated Go code — fast, zero-config, table-driven. Supports sqlc, protobuf, templ, mockgen, wire, stringer, and more.

Program to detect programming language from the a code snippet

Codetector is a modular AI-generated content (AIGC) detection framework that allows easy integration of custom datasets, large language models (LLMs), and detection methods. With features like crash recovery and unit-tested code, it provides a flexible and robust pipeline for AIGC generation and detection.

PHP library for automatic programming language detection