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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
《智能风控实践指南：从模型、特征到决策》代码。 《智能风控实践指南：从模型、特征到决策》书籍配套Python代码。
《Spark 大型电商项目实战》源码，博客地址：http://blog.csdn.net/u012318074/article/category/6744423
Event-driven network library for multi-threaded Linux server in C++11
A lightweight, cryptography-powered, open-source toolkit built to enforce Zero Trust security for infrastructure, applications, and data in the AI-driven world.
[USENIX Security 25] PatchAgent is a LLM-based practical program repair agent that mimics human expertise.
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
A "real" remote attestation flamework of Intel SGX
[ISSTA 2024] PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open Source Software
not another coding agent, kode is agent cli for everything
A minimalistic educational hypervisor for Windows on AMD processors.
A bare minimum hypervisor on AMD and Intel processors for learners.