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Aaron Goin's Projects

babel icon babel

:tropical_fish: Babel is a compiler for writing next generation JavaScript.

baitshop icon baitshop

Write your React (or Preact) hooks as JavaScript classes.

breakout icon breakout

Breakout in space! This is a Java game using Slick2D.

forms-go-brrr icon forms-go-brrr

Embrace uncontrolled forms and inputs in React. They're lighting fast, and incredibly robust.

js_web_app_seed icon js_web_app_seed

This is a scaffold for ReactJS+Redux web apps with NodeJS+ExpressJS+Postgres backend.

ogremage icon ogremage

Mobile-friendly Roguelike Javascript Game Engine using html Canvas to draw. Under heavy Construction.

ost_sonar icon ost_sonar

A digital version of of the Sonar Deck for Operation: Silent Threat (a Submarine Warfare Board Game).

perfectdocs icon perfectdocs

Reference and documentation for Perfect (Server-side Swift). Perfect (支持服务器端Swift语言的软件函数库)使用文档和参考手册.

pfft-jss icon pfft-jss

pfft-jss is a tiny utility library to help you style your components.

preact icon preact

⚛️ Fast 3kb React alternative with the same ES6 API. Components & Virtual DOM.

react-sourcery icon react-sourcery

Sourcery is a delightful framework for hooking up react components to your api and caching requests locally.

repljs icon repljs

REPLjs is an old React Native project that has expired past it's due date.

sub.mission icon sub.mission

sub.mission is a game created using Java and Slick2D

velocity9 icon velocity9

A super fast web application server built on Node.js and uWebSockets.js

weave icon weave

A client-side web app for writing in alpha stages. Try it out here:

webnn icon webnn

WebNN (WNN) is a JavaScript framework for distribution and training of Neural Networks (NN) through the internet. This is a large part of my research, working alongside Ron Cotton into distributed training of neural networks at WSU Vancouver. WNN consists of a NodeJS HTTP server that facilitates the asynchronous distributed training of user-defined NN. It builds on TensorFlow.js, which leverages the clients' GPU using WebGL (or CPU if WebGL unavailable) to run and train a NN in any web browser that supports WebGL 1.0 or better--which is 96% of browsers in the US and 93% of browsers globally

wsucrypt icon wsucrypt

Block encryption algorithm based on Twofish and SKIPJACK using 64bit block and key size. Implemented successfully in C, and partially in JavaScript.

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