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📚 Papers by organizations sharing their work on applied data science & machine learning.
APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity
APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning
该资源是各种溯源图相关的论文和资源总结(含PPT),涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域,希望对大家有所帮助~
APT & CyberCriminal Campaign Collection
Indicators of compromise (IOCs) collected from public resources and categorized by Qi-AnXin.
Interesting APT Report Collection And Some Special IOC
Various public documents, whitepapers and articles about APT campaigns
Pytorch implementation of Recurrent Memory Array Structures by Kamil M Rocki
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
Small and highly portable detection tests based on MITRE's ATT&CK.
Generate JSON force-directed/ node graph data from MITRE's ATTACK framework and visualize it interactively
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Have fun with audit log analysis :)
Python scripts to analyze an authentication dataset.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).
A curated list of awesome anomaly detection resources
A complete list of papers on anomaly detection.
A curated list of amazingly awesome Cybersecurity datasets
Awesome Dataset Distillation Papers
A collection of research papers on decision, classification and regression trees with implementations.
A Comprehensive Survey on Community Detection with Deep Learning
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Distributed Deep Learning resources.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.