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Interpretable Machine Learning with Python, published by Packt
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
Insider threat detection via bert
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
2018AIOps: The 1st match for AIOps
LAC
Some analysis of the LANL data <http://csr.lanl.gov/data/cyber1/>.
A framework for synthesizing lateral movement login data.
AI Summer's complete catalog of articles
Source code for 'Lemna: Explaining deep learning based security applications'.
LibFewShot: A Comprehensive Library for Few-shot Learning.
An deep learning based lightweight TCN for log anomaly detection.
《统计学习方法》的代码实现
Full pipeline for log analysis and anomaly detection.
The final project of deep learning and practice (summer 2020) in NCTU.
Log survey paper list
A distributed representation method for online logs.
Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise
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.