Git Product home page Git Product logo

zshwuhan's Projects

1m_generalization icon 1m_generalization

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.

2dks icon 2dks

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

a-recsys icon a-recsys

A Tensorflow based implicit recommender system

aaai-2015-demographics icon aaai-2015-demographics

Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"

acctnetwork icon acctnetwork

Author Conference Citation Topic Model with Network Regularization

acl2016 icon acl2016

Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text

acl2016-convincing-arguments icon acl2016-convincing-arguments

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"

ad-link icon ad-link

This is the MATLAB code for AD-Link

adatreenat icon adatreenat

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.

adl-tm icon adl-tm

Code associated with IJCAI 2016 paper "A Topic Model for Discovery of ADL"

ads-recsys-datasets icon ads-recsys-datasets

This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.

advanceddatastructures icon advanceddatastructures

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。

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adwin icon adwin

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.

affinity-loss icon affinity-loss

Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"

agtpy icon agtpy

Attributed Graph Toolbox for Python

ai-ml-bridgecut icon ai-ml-bridgecut

A network bridge cutting algorithm (BridgeCut) that creates clusters based solely on network structure.

ai-ml-clustering icon ai-ml-clustering

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.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.