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Type: User
Company: Peking University
Type: User
Company: Peking University
Genetic algorithm implementation in Python
source code from the book Genetic Algorithms with Python by Clinton Sheppard
A python library for genetic algorithms
Implementation and experiments of graph embedding algorithms.
The official implementation of Graph Normalization
tutorial
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
Feature selection using sklearn's SelectKBest on the KDD99 Dataset
clean data ,feature selection , svm based kdd99
KDD cup 1999 ML project
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.
In this repository , you can find a script that downloads all datasets available in the Mawi Working Group
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Application of machine learning for cyber security
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies
这是作者的系列网络安全自学教程,主要是关于网安工具和实践操作的在线笔记,希望对大家有所帮助,学无止境,加油。
Evolving a neural network with a genetic algorithm.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
NSL-KDD Dataset
my first research
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Simple script that generates a wordcloud from different scholar resources
SDN-DDoS-Monitor: A simple machine learning tool for detecting botnet attacks
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.