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Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.
Modelling the movements of foraging animals as a Levy Flight (Stochastic Process) trained via an evolutionary algorithm
QPSO trained ANN for wireless IDS
A curated list of awesome quantum computing learning and developing resources.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
blog & blog theme🤘
CICIDS2017 dataset
没有图像隐写检测代码 【针对nsF5 UERD J-UNIWARD 】(未完成)
Pyhton Implementation of CS
Cyber Attack Detection thanks to Machine Learning Algorithms
用于个人博客所用的中文字体
IDS with CICIDS2017 dataset based on tree-based classifiers
Intrusion Detection System using SVM with NSL KDD Dataset
Using PyTorch to train kddcup99 dataset with convolutional neural networks.
Software to detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between bad connections, called intrusions or attacks, and good normal connections. Hence KDD Cup 99 dataset was created as a part of annual data mining competition in the year 1999. Our GOAL is to predict if a connection is safe or an anamoly.
Least-Significant-Bit tool for steganography
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different fields around the world. Many studies and researches about cyber-security are carried out by experts in order to construct a safe network environment for people. The aim of the work is to build the detection models for classifying the attack data. Hence, we applied the UNSW-NB15 network data set which combines both normal and modern low-level attacks because we would like to create the experimental scenario close to the real world. Two classifiers are logistic regression and decision tree model for binary classification in the work. The deployed technique for decision tree achieved the highest result with 99.99% of testing accuracy compare to the 78.15% of logistic regression classifier. On the other hand, the KNN model is used for categorizing the multi-class in the project, and the averaged accuracy for testing is around 23% for ten categories classification.
个人博客系统(SpringBoot+Mybatis)
基于SpringBoot的精美个人博客网站
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Network Intrusion Detection System using GA and SVM
Thesis work using Deep Learning to detect attacks to face recognition systems (CNN+LSTM)
人事管理系统,基于Spring+SpringMVC+Mybatis框架,该项目两级权限管理员与普通员工,包含用户管理,部门管理,职位管理,员工管理,公告管理,下载中心等多个模块
基于Python3语言开发的群体智能优化框架
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.