Lizhen0909

class_demo

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

scaling, counting, bloom filter library

DataScience_Intro_python_fa24_Sec20_21

This is a free ebook for the course Data Science 1 with Python (STAT303-1), offered by the Department of Statistics and Data Science at Northwestern University

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

graph_clustering_toolkit

graph clustering toolkit

iBio

Bioinformatics on iPhone

LSHVec

PyLSHvec

LSHVec pre-trained models and its Python bindings

Lizhen0909/LSHVec

Lizhen0909/graph_clustering_toolkit

graph clustering toolkit

Lizhen0909/iBio

Bioinformatics on iPhone

Lizhen0909/PyLSHvec

LSHVec pre-trained models and its Python bindings

Lizhen0909/class_demo

Lizhen0909/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)

Lizhen0909/dablooms

scaling, counting, bloom filter library

Lizhen0909/deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Lizhen0909/deep_fake_review

Lizhen0909/distributed_clustering_thrill

Distributed Graph Clustering using the experimental Thrill framework

Lizhen0909/extract_loudest_section

Trims .wav audio files to the loudest section of a given length

Lizhen0909/fastText

Library for fast text representation and classification.

Lizhen0909/FSU_CGS3416

Lizhen0909/git_demo_390

Lizhen0909/graphframes

Lizhen0909/ldcrgen-kit

Generator for large clustered dynamic graphs

Lizhen0909/Lizhen0909.github.io

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

Lizhen0909/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.

Lizhen0909/patchwork

Highly Scalable Grid-Density Clustering Algorithm for Spark MLLib

Lizhen0909/PowerGraph

PowerGraph with GossipMap

Lizhen0909/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/)

Lizhen0909/pykernels

Python library for working with kernel methods in machine learning

Lizhen0909/pytorch-sgns

Skipgram Negative Sampling in PyTorch

Lizhen0909/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.

Lizhen0909/RelaxMap

Shared-memory RelaxMap

Lizhen0909/space-typer

A typing game written in Python using the Arcade library

Lizhen0909/SpaRC-MPI

MPI version of Sparc

Lizhen0909/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.

Lizhen0909/STAT390_WI24

Lizhen0909/ts_purchase_redemption