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Lizhen Shi's Projects

communitydetectioncodes icon communitydetectioncodes

Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)

dablooms icon dablooms

scaling, counting, bloom filter library

fasttext icon fasttext

Library for fast text representation and classification.

ibio icon ibio

Bioinformatics on iPhone

kmernator icon kmernator

An MPI Toolkit for large-scale genomic analysis

lizhen0909.github.io icon lizhen0909.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mimir icon mimir

Mimir is a new implementation of MapReduce over MPI. Mimir inherits the core principles of existing MapReduce frameworks, such as MR-MPI, while redesigning the execution model to incorporate a number of sophisticated optimization techniques that achieve similar or better performance with significant reduction in the amount of memory used.

patchwork icon patchwork

Highly Scalable Grid-Density Clustering Algorithm for Spark MLLib

ppscan icon ppscan

ppSCAN: Parallelizing Pruning-based Graph Structural Clustering (in ICPP 2018) - by Yulin Che (https://github.com/CheYulin), Shixuan Sun (https://github.com/shixuansun) and Prof. Qiong Luo (http://www.cse.ust.hk/~luo/)

pykernels icon pykernels

Python library for working with kernel methods in machine learning

pylshvec icon pylshvec

LSHVec pre-trained models and its Python bindings

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

space-typer icon space-typer

A typing game written in Python using the Arcade library

spark-infotheoretic-feature-selection icon spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

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