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Sjoerd Bodbijl's Projects

simplebeerservice icon simplebeerservice

Simple Beer Service (SBS) is a cloud-connected kegerator that streams live sensor data to AWS.

slack-ruby-bot-server icon slack-ruby-bot-server

A library that enables you to write a complete Slack bot service with Slack button integration, in Ruby.

slicejack-email-boilerplate icon slicejack-email-boilerplate

This boilerplate is merely a guideline for writing HTML code that will render correctly across each of the most popular email clients.

soccerontable icon soccerontable

Upconverting YouTube soccer videos in 3D for viewing in AR/VR devices.Soccer On Your Tabletop

sonoff-tasmota icon sonoff-tasmota

Provide ESP8266 based itead Sonoff with Web, MQTT and OTA firmware using Arduino IDE or PlatformIO

soundnode-app icon soundnode-app

Soundnode App is the Soundcloud for desktop. Built with Electron, Angular.js and Soundcloud API.

spacy-course icon spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spark-workshop icon spark-workshop

Data and code for "Fast Data Applications with Spark and Python"

st2 icon st2

StackStorm (aka "IFTTT for Ops") is event-driven automation commonly used for auto-remediation, security responses, facilitated troubleshooting, complex deployments, and more. Includes rules engine, workflow,1800+ integrations (see /st2contrib), native ChatOps and so forth. Installer available at http://docs.stackstorm.com/install/index.html. Ping us on slack - https://stackstorm-community.slack.com/.

starthinker icon starthinker

Framework for building data workflows provided by Google.

statuspage icon statuspage

A statuspage generator that lets you host your statuspage for free on Github.

stereo-magnification icon stereo-magnification

Code accompanying the SIGGRAPH 2018 paper "Stereo Magnification: Learning View Synthesis using Multiplane Images"

stockpredictionai icon 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.

stomp-rs icon stomp-rs

A STOMP client in Rust. Compatible with RabbitMQ, ActiveMQ.

stratergic-location icon stratergic-location

Implementation of Finding Promising Business Locations through Facebook Data Analytics.

streamalert icon streamalert

StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.

streetview icon streetview

Python module for retrieving current and historical photos from Google Street View

stumblybot icon stumblybot

Simple robot that executes voice commands through Google Assistant.

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