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Jiayu Wang's Projects

datasetgenerator icon datasetgenerator

Python code to generate commonly used artificial dataset for machine learning testing.

dbhiforest icon dbhiforest

This repository is used for a research project exploring a generic anomaly detection framework that can be applied with any distance measures.

distributed-file-system icon distributed-file-system

Build a distributed file system which learns some of the best practices from existing products and implements distributed algorithems.

ds_ezshare icon ds_ezshare

A simple distributed file sharing system with socket-level implementation.

globaleditdistance icon globaleditdistance

This is for subject Knowledge Technologies. The purpose of script is to fuzzy match Persian script back to its origin foreign word(Latin).

knowledgemap icon knowledgemap

This repository is used to hold knowledge map for Software Engineering in a wider range in the form of blogs.

my-first-blog2 icon my-first-blog2

This is the second trial of my first blog, since the last time resources have been removed from my laptop. No need to use version control. Totally redo.

peronalsite icon peronalsite

This is Fibby's personal website deployed on fibby.pythonanywhere.com, which provides services like technical blog and personal time management (require registration). Feel free to use and test and provide any feedback for it.

react-demo icon react-demo

This is a simple react app built with create-react-app. It provides a simple webpage to display a list of events and a search fuction.

reactgames icon reactgames

This repository is going to hold fun React games.

recipefinder icon recipefinder

This is a web application built on Flask and Python. Given a list of ingredients and a collection of recipes, the application can help you decide the best recipe accordingly.

retailerapi icon retailerapi

.Net Core project that provides APIs for querying user token, sorting products and calculating lowest possible trolley sum.

twittergeoparallel icon twittergeoparallel

This is for processing twitter geographical data by using parallel computing. The tool used is mpi4py. And we tried two different methods to compare their performance.

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