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skbn

Copy files and directories between Kubernetes and cloud storage

sketch-code

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

skulpt

Skulpt is a Javascript implementation of the Python programming language

skywalking

APM, Application Performance Monitoring System

skywater-pdk

Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

slackforce

Sample Message Broker to enable Slack to Salesforce communication using Slash Commands

slalom

Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

slate

Beautiful static documentation for your API

smart-contract

socket.io

Realtime application framework (Node.JS server)

socketio

solarchain-dashboard

This is a Bootstrap+jQuery dashboard using the web3 Ethereum JavaScript API to visualize activity in the SolarChain network.

solidity

the necessary Solidity components for all seamen

space-cloud

Space Cloud is an open source, web server that provides instant Realtime APIs on any database of your choice. Build highly scalable apps with the agility of a prototype!

spaceshooter

:video_game: The classic retro game recreated using Pygame and python

spec

The Open Application Model specification

spinwheel

spot_price_machine_learning

AWS Launch instance python Machine Learning

sql-city-jail-database

City Jail Database/ SQL semester long project

sql-practice

Practice SQL using a docker image containing a jupyter notebook, pandas, and SQLAlchemy linked to preloaded MySQL databases

sqlite-web

Web-based SQLite database browser written in Python

ssl-apache2-virtualhost

ssl-haproxy-docker-compose

starcluster

StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).

starter

Docker starter for Cloud 66

statwebgen

Obligatory static website generator

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

storybook

📓 The UI component explorer. Develop, document, & test for React, Vue, Angular, Ember, Web Components, & more!

streaming_nd

Data Streaming Nanodegree (from Udacity) exercises, projects and their solutions