ModSecurity is an open source, cross platform web application firewall (WAF) engine for Apache, IIS and Nginx. It has a robust event-based programming language which provides protection from a rang…

Official ModSecurity Docker + Core Rule Set (CRS) images

BlazeHTTP 是一款简单易用的 WAF 防护效果测试工具。BlazeHTTP stands as a user-friendly WAF protection efficacy evaluation tool.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

OWASP CRS (Official Repository)

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Knowledge Agents and Management in the Cloud

Deploy your agentic worfklows to production

Combined datasets of ECML/PKDD 2007 and CSIC 2010

Python botnet and backdoor

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

Fine-grained open-world Android app fingerprinting

Python面试常见的170道题目的解析和源码

[ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"

关于Python的面试题

Contains encrypted/non-encrypted mining traffic

Reference models and tools for Cloud TPUs.

Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.

PyTorch implementation of EfficientNet-lite and a spectrum of pre-trained models on ImageNet

Using ALBERT to classify error reports

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Machine Learning University: Decision Trees and Ensemble Methods

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps h…