jenyangk Goto Github PK
Name: Koh Jen Yang (Andy)
Type: User
Company: PCL
Bio: Always learning
Location: Edmonton
Koh Jen Yang (Andy)'s Projects
adafruit_python_bno055
Library for accessing the Bosch BNO055 absolute orientation sensor on a Raspberry Pi or Beaglebone Black.
azure-pipelines-tasks
Tasks for Azure Pipelines
bdb
boids
d3-hierarchy-tree
A simple demonstration of my Angular implementation of Mike Bostock's Collapsible Tree
django-weather-api
docker-django-react
ethereum-dex-prices-service
An API wrapper that fetches prices from the most popular Ethereum decentralized exchanges
floatingisland
forge-demo
A demo of Forge's Data Visualization api.
free-programming-books
:books: Freely available programming books
fs-sim
A file system simulator written in C++.
gitdemo
A demonstration for CMPUT301 students.
jenyangk.github.io
Site
lab-8-template-wednesday
legendary-fiesta
manim
Animation engine for explanatory math videos
mappinsample
Map Pin Sample to demonstrate missing marker click event when pin is customized
mapreduce
A map reduce library written in C/C++.
mauisamples
.NET MAUI Samples
mipspatterns
A resource for common coding structures in MIPS.
quiz-me
A Django app for creating and running quizzes to improve memory.
scaffold-eth
🏗 forkable Ethereum dev stack focused on fast product iterations
sharpnado.taskloaderview
Free yourself from IsBusy=true! The `TaskLoaderView` is a UI component that handles all your UI loading state (Loading, Error, Result, Notification), and removes all the pain of async loading from your view models (try catch / async void / IsBusy / HasErrors / base view models / ...) thanks to its brother the `TaskLoaderNotifier`.
shell-sim
Shell simulator written in C.
stickers
This repository contains the iOS and Android sample apps and API for creating third party sticker packs for WhatsApp.
tests
A giant collection of the things I've tried
vadersentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
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