Here we discuss how one can investigate crypto hacks and security incidents, and collect all the possible tools and manuals! PRs are welcome! If any tool is missing - please open PR!
aml 开源项目推荐(934 个)
aml 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 934 个仓库Marble - the real time decision engine for fraud and AML
AML/CTF/KYC/OFAC Search of global watchlist and sanctions
Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
A portable and easy-to-integrate implementation of the Advanced Configuration and Power Interface (ACPI)
Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.
3D被动面部活度检测(反伪造)和深度伪造检测。计算活度评分只需一张图片。我们的数据集准确率为99.67%,在多个公开数据集(NUAA、CASIA FASD、MSU......)上为满分。
Rust library for parsing ACPI tables and interpreting AML
Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.
LAI is an interpreter for AML, the ACPI Machine Language.
API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.
A resource full of Crypto/OSINT tools, techniques and training courses for CTI, AML, and forensic investigations.
本调查的目标有双重:(i)展示对抗性机器学习(ML)以提高RS安全性的最新进展(即,攻击和防御推荐模型),(ii)展示了ML在生成性应用程序的生成对抗网络(GAN)中的另一个成功应用,这要归功于它们学习(多维)数据分布的能力。在这项调查中,我们对主要RS和ML期刊和会议上发表的74篇文章进行了详尽的文献回顾。本评论可供RS社区参考,研究RS的安全性或使用GAN的生成模型以提高其质量。
Template for getting started with automated ML Ops on Azure Machine Learning
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
A tool for managing Aras Innovator installations focusing on improving the import/export experience.
Customer registry supporting Know Your Customer (KYC), Customer Identification Program (CIP), and OFAC checks
Open-source KYC/AML compliance automation. 17 human-in-the-loop checkpoints, free public data sources, deterministic risk scoring. Runs on Claude Cowork, Claude Code, or any Claude client.
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/aml。
- 该话题在 GitHub 上共有 934 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6194 Star,覆盖 8 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。