Stars
💯2025年信息系统项目管理师(软考高级)备考资源库。
Automatic Video Generation from Scientific Papers
Feature extraction for CERT insider threat test dataset
💫 Toolkit to help you get started with Spec-Driven Development
A curated collection of fun and creative examples generated with Nano Banana🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development…
Detects insider threats using machine learning by analyzing user behavior, system access, and anomalies.
source code for paper EV-Planner: Energy-Efficient Robot Navigation via Event-based Physics-Guided Neuromorphic Planner
LogLLM: Log-based Anomaly Detection Using Large Language Models (system log anomaly detection)
AWS-native cybersecurity platform for proactive threat detection and response. Combines ML, GenAI, UEBA, and automated MLOps to deliver real-time insights, adaptive defense, and enterprise-grade se…
MultiAgentPPT 是一个集成了 A2A(Agent2Agent)+ MCP(Model Context Protocol)+ ADK(Agent Development Kit) 架构的智能化演示文稿生成系统,支持通过多智能体协作和流式并发机制
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
尝试论文复现:GLADS: A global-local attention data selection model for multimodal multitask encrypted traffic classification of IoT
Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation"
A collection of tools, code, and documentation to understand the host network on real server hardware.
A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
Uses Machine Learning to detect live DDoS attacks
Retina is a network analysis framework that supports 100+ Gbps traffic analysis on a single server with no specialized hardware.
Source code of "Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning" paper.
Examples and guides for using the OpenAI API
nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.
Desenvolvimento de um módulo de detecção de ataques (IDS) utilizando Machine Learning, junto com TCPDump e CICFlowMeter.
A PyTorch implementation of of E-GraphSAGE.