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react-transition-group

An easy way to perform animations when a React component enters or leaves the DOM

react-weather-app

reactjs-vite-tailwindcss-boilerplate

This is a boilerplate build with Vite, React 18, TypeScript, Vitest, Testing Library, TailwindCSS 3, Eslint and Prettier.

react_express_starter

Starter pack for React and Express full stack development

react_redux_express_starter

Boiler plate for React/Redux applications with Express

recipes_app

A simple recipes app made in Flutter for a series of articles

responsive-landing-page-coffee3d

Responsive Landing Page Coffee 3D

reveal.js

The HTML Presentation Framework

review

rig-associate

ruby-koans-part1

[ruby]

ruby-koans-part2

classes and stuff ruby koans [ruby]

ruby-oop-cards

[ruby][oop]

ruby-styleguide

Ruby Style Guide

rugged-multisig

A fully decentralized multisig wallet built with Solidity and ReactJS.

service

Starter code for writing web services in Go

shopping-react

snakevr

WebVR Game with BabylonJS

snarkjs

zkSNARK implementation in JavaScript & WASM

solana-wallets-vue

Solana wallet integration for Vue 3

sortify-rails

Rails associations exercise

sorting-insertion

soular-blockchain

Compiling blockchain contract

space-cats-dao

Space Cats DAO

spdinternship

Internship slides on SP Digital

sql-join-blog

[sql, join, morning exercise]

sql-n64-lab

[sql, morning exercise]

stack-abuse-express-authentication

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stock-market-prediction-using-natural-language-processing

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.