AnnyKong

Yanmeng (Anny) Kong's repositories

ModeShift-App

Team Website: https://annykong.github.io/ModeShift-App/

Language:JavaScript2 20

checker-framework

This is a UW cse403 capstone project to implement NullnessLite option. | Checker Framework is a pluggable type-checking for Java.

Language:JavaNOASSERTION1 3 6

Denoise-multi-weak-sources-rep

Language:Python100

Web-Crawler

A multiprocess web crawler for crawling historical photo records.

Language:Jupyter NotebookMIT1 20

381-Programming

Introduction to using Python and Gurobi to solve linear programming problems for UW's Math 381 (Autumn 2018)

Language:Jupyter Notebook020

Campus-Path

This is a UW Campus Map navigation tool from UW cse331 individual project.

Language:Java020

Hopfield

This is a Hopfield machine learning group project finished during UW amath383. It recognizes binary digits from 0-9.

Language:JavaMIT000

Island-Warfare

VR Capstone Project from 4 Fun Team at UW CSE.

Language:C#020

Nullness_Lite is a lite option of the Nullness Checker in the Checker Framework to detect nullness bugs in java source files. It disables the following features of Nullness Checker to obtain more desireable traits. To be specific, the Nullness Checker with Nullness_Lite option enabled will be faster and easier to use by deliberately giving up soundness.

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AnnyKong.github.io

Language:CSSMIT020

BB-task

Language:Python000

Chat-App

This is a Chat App from UW cse332 project.

Language:CSSMIT020

CSE-546

Homeworks for CSE-546 (Machine learning)

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cse163-20su-final

COVID-19 Trend Prediction and Analysis

Language:Jupyter Notebook000

dataset-examples

Samples for users of the Yelp Academic Dataset

Language:PythonNOASSERTION010

Denoise-multi-weak-sources

Language:Python010

dubhacks-19

An App “Integration of lip language and Hololens” using Hololens to transcript lip language to text in order to help people with hearing or speaking disabilities, increase conversation quality in a noisy environment, and help English learners with understanding the conversation. The goal of the project is to help recognizing lip speech using Microsoft Hololens when the audio is corrupted, as well as serve as a visual recognition method used for speaker verification in multi-speaker scenarios.

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