Popular GitHub Repositories for Audit Trails

Amphion (/?m?fa??n/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

The open source compliance platform - Drata & Vanta Alternative

支持本地模型的 LLM 的智能代码审计平台，致力于为您打造全流程审计无忧的AI代理。旧版试用：

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

AI engine for smart contract audit

Breaching privacy in federated learning scenarios for vision and text

基于 AI 的代码安全审计工具，支持多种编程语言的代码分析，可以帮助开发者快速发现代码中的潜在安全漏洞。支持DeepSeek-R1，ChatGPT-4o等多种大模型。

YOLOv8 Segmentation with DeepSORT Object Tracking (ID + Trails)

? Scan your Python dependencies for known security vulnerabilities with Rust-powered scanner

A simple CLI and TUI driven application that offers patch reporting for remote unix systems, written in Python

A curated list of algorithms and papers for auditing black-box algorithms.

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems ???

AI-driven Static Analyzer. Supports Rust and Smart contracts: Solana based on Rust, Ethereum based on Solidity.

Ship agents you can audit.

检查你的 GitHub Actions 工作流程运行情况，查看究竟下载了哪些 Actions

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

PyTorch package to train and audit ML models for Individual Fairness

GPT AiCSA(Code security audit)，SAST（Static Application Security Testing，静态应用程序安全测试），JAR security analysis, static vulnerability and vulnerability analysis of various programming language codes

RAG/LLM Security Scanner identifies critical vulnerabilities in AI-powered applications, including chatbots, virtual assistants, and knowledge retrieval systems.

The Future of AI-Powered Development: Orchestr8 Transforms Claude Code Into a Complete Software Engineering Team