zshwuhan's repositories

ai-ml-pitch

Data Science with a pitching data set.

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Airavat

Improved Security for MapReduce

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Algorithm

Solution code for Algorithms on Coursera by Kevin Wayne, Robert Sedgewick from Princeton University

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APA

Anatomize and Partition Anonymization

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bayes_gmm

Bayesian Gaussian mixture models in Python.

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CatchSync

Catching Synchronized Behavior in Large Directed Graphs (KDD 2014).

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cds-detector

An automatic child-directed speech detector

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clique-summary

computing redundancy-aware maximal cliques (acm sigkdd'13)

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CrossSpot

Spotting Suspicious Behavior in Multi-modal data (ICDM 2015)

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csm3n

Code for collective stability max-margin Markov network learning

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DistributedCompute

Easy using distributed Computing framework of c++

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dna-recognition-for-biometric-identification

DNA Recognition is a part of Biometric Identification and Verification technique used to identify human individuals by identifying the distinctiveness in their DNA profiles. This was a studied at T-Labs, Deutsche Telekom, Berlin.

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endive

Rare event prediction library for Python

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Hete-CF

Hete-CF: Social Recommendation using Heterogeneous Relations

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KomodiaAhoCorasick

A string set matching algorithm

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LockInfer

Inferring Strange Behavior from Connectivity Pattern (PAKDD 2014, KAIS 2015)

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math_learning

Learning to Discover Efficient Mathematical Identities

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mcsvm

A new implementation of Crammer and Singer's Multi-Class Support Vector Machines

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nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

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PAA

Partition and Anatomize Anonymization

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pattern-matching

Hadoop MapReduce over Hive based implementation of attributed network pattern matching.

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ScaCTM

Scalable inference for Correlated Topic Models

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SemRec

Code for paper "Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks"

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STS-multi-task-learning

Semantic Textual Similarity with Multi-task Learning Gaussian Processes

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Temporal-Product-Recommendation

This project is about how to discover temporal pattern in recommendation systems. We implement matrix factorization and work of several papers.

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variational-dpgmm

Variational Dirichlet Process Gaussian Mixture Models

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