mignev

shiftpi

ShiftPi is the easiest way to work with 74HC595 shift registers on your Raspberry Pi in Arduino style :)

develo

Develo standardize development workflows!

apex-go

Golang runtime for Apex/Lambda.

apns2

⚡ HTTP/2 Apple Push Notification Service (APNs) push provider for Go — Send push notifications to iOS, tvOS, and OSX apps, using the new APNs HTTP/2 protocol.

auth-server

OAuth 1.0 and 1.0a authentication server for signing requests, compliments hello.js

BlogApp

This is a web application made using Streamlit. It is based on the Modern Portfolio Theory. Enter your stock tickers, and your optimal portfolio will be generated. Did I mention that there are some really pretty graphs?

brain.js

🤖 Neural networks in JavaScript

caddy-cache

Caching middleware for caddy

django-ultracache

Drop-in replacement for Django's template fragment caching. Provides automatic cache invalidation.

djongo

Django and MongoDB database connector

golang-ex

home-assistant.io

:blue_book: Home Assistant User documentation

httpstat

Higher level HTTP tracing for Go

ipapi

modern-portfolio-theory

Basic implementation of modern portfolio theory to find the optimal portfolio for a set of stocks.

nodejs-ex

node.js example

openshift-docs

OpenShift Documentation

openshift-scripts

Loose collection of different scripts for OpenShift.

parse-server-1

Parse-compatible API server module for Node/Express

pg-app-tynwrjdecdmr69ke5d8fec6ixljzx5

SashiDo App: Sashido-Demo

policies

Catalyze HIPAA Policy Documentation

portfolio-optimizer

A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing various factors such as Returns, Sharpe Ratio and Risk.

Portfolio-using-modern-portfolio-theory

inputs - 1) number of stocks in your portfolio and the name of them (use the ticker symbol not full name - (ex - AAPL)) 2) number of simulations required for calculating the optimal sharpe (higher the number of simulated portfolios better the results, i usually choose between 10,000 - 20,000 and it takes few secs in my dumb M3 surface pro) outputs - it generates a "portfolio.png" that contains the best percentage allocation it has found in the simulation with the sharpe ratio, expected return and standard deviation. so the outputs would be 1) percentage allocation 2) sharpe ratio 3) expected return

react-keyboard-event-handler

A React component for handling keyboard events

sashido-live-queries-demo-page

sklearn-json

A safe, transparent way to share and deploy scikit-learn models.

speedtest

Self-hosted HTML5 Speedtest

Stock-2

Portfolio optimisation through the application of the Modern Portfolio Theory (MPT)

tsoa

Build swagger-compliant REST APIs using TypeScript and Node

vulcan

Vulcan extends Prometheus adding horizontal scalability and long-term storage