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This is the code for using the Catboost library.
一个可爱的演示项目
Majiang community
Analyzing Airline data to predict delays
graduation design DBN + SVM
手写中文字符识别
a solution for competition of kaggle `Human or Robot`
Detecting Abnormal Connections of a Network-Flow (KDD-cup 99)
Implementation of different machine learning algorithms to find the best predictor of Intrusion Detection.
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Using machine learning to predict the next NBA MVP, and estimate a player's future earning potentials based on the player's stats.
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999
面向电信行业存量用户的智能套餐个性化匹配模型 (XGBoost 0.8254)
•PyDetector is an Intrusion Detection and Prevention System designed to efficiently detect and prevent various intrusion attempts on the network. Attacks covered : Default Nmap probe, Smurf attack, Ping of Death, DDoS.•Developed using Python, MySQL & Django framework with Kali Linux as the base operating system.•PyDetector is an Intrusion Detection and Prevention System designed to efficiently detect and prevent various intrusion attempts on the network. Attacks covered : Default Nmap probe, Smurf attack, Ping of Death, DDoS.•Developed using Python, MySQL & Django framework with Kali Linux as the base operating system.•PyDetector is an Intrusion Detection and Prevention System designed to efficiently detect and prevent various intrusion attempts on the network. Attacks covered : Default Nmap probe, Smurf attack, Ping of Death, DDoS.•Developed using Python, MySQL & Django framework with Kali Linux as the base operating system.•PyDetector is an Intrusion Detection and Prevention System designed to efficiently detect and prevent various intrusion attempts on the network. Attacks covered : Default Nmap probe, Smurf attack, Ping of Death, DDoS.•Developed using Python, MySQL & Django framework with Kali Linux as the base operating system.Intrusion Detection System
RNN-LSTM Model for network intrusion , using benchmark dataset NSL-NDD
Bayesian Optimization and Grid Search for xgboost/lightgbm
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.