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1M_Generalization is a simple anonymization algorithm for 1:M dataset. It contains two sub-algorithms: Mondrian (for relational part) and Partition (transaction part). Both of them are straight forward, and can be repalced by more powerful algorithm with limtied modification.
2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit
A Tensorflow based implicit recommender system
Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"
ECML-PKDD 2016 AALTD Challenge
Abstractive Summarization IJCAI paper code
Author Conference Citation Topic Model with Network Regularization
Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Code and data for ACL2016 article "Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM" by Ivan Habernal and Iryna Gurevych"
Bayesian Active Transfer Learning
Human activity recognition with Probabilistic Soft Logic
This is the MATLAB code for AD-Link
Adversarial Defense for Ensemble Models
This software contains three closed tree mining algorithms: an incremental one IncTreeNat, a sliding-window based one, WinTreeNat, and finally one that mines closed trees adaptively from data streams, AdaTreeNat. Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information.
Code associated with IJCAI 2016 paper "A Topic Model for Discovery of ADL"
四川大学拓思艾诺广告流量实时分析项目
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
大学时期学习数据结构的C++源码,包含AVL树、Treap、多个有序链表合并、二叉查找树、二项堆、红黑树、伸展树、跳表、栈与队列相互模拟以及最小(大)值求解、主席树的C++版实现,欢迎指出错误和提交贡献。
Code and hyperparameters for the paper "Generative Adversarial Networks"
ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.
Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"
Attributed Graph Toolbox for Python
A network bridge cutting algorithm (BridgeCut) that creates clusters based solely on network structure.
Implementation of multiple clustering algorithms (K-means, Bisecting K-means, Agglomerative Hierarchial Clustering with Intra-Cluster Similarity (IST), Centroid Similarity (CST), and UPGMA) for performance comparisons on different data sets.
Machine learning techniques used to predict hospital room admissions.
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.