Roger Knobbe's starred repositories
WeeWX-MQTTSubscribe
A WeeWX service and driver that receives data from MQTT.
RaspberryPi-GPIO-Label
A small little printable label that can be pushed onto the pins of a Raspberry Pi 40-pin header
TFACO2AirCO2ntrol_CO2Meter
Read TFA AirCO2ntrol Mini and CO2-Meter with python3
ESP32-e-Paper-Weather-Display
An ESP32 and 2.9", 4.2" or 7.5" ePaper Display reads Weather Underground data via their API and then displays the weather
esp32-weather-epd
A low-power E-Paper weather display powered by an ESP32 microcontroller. Utilizes the OpenWeatherMap API.
proxyunsetter
Windows tray tool to unset the system proxy.
cursor-effects
Old-school cursor effects for your browser built with modern JavaScript
robotic-arm
Robotic arm to be printed on the 3D printer controlled by Raspberry Pi, PCA9685 for servomotors and programmed in Python.
OctoPrint-PanTilt
Provides support in OctoPrint for controlling two servos using GPIO so a pan/tilt camera can be controlled.
PrusaSlicer
G-code generator for 3D printers (RepRap, Makerbot, Ultimaker etc.)
Inland-Filament-Profiles
profiles for Microcenter inland filaments
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
simcom_wwan-setup
A guide and files for setting up the Waveshare SIM7600G-H Hat for Jetson Nano
yellowShoes
nrsc5 (HD FM) radio player
LMIC-node
LMIC-node | One example to rule them all. LMIC-node is an example LoRaWAN application for a node that can be used with The Things Network. It demonstrates how to send uplink messages, how to receive downlink messages, how to implement a downlink command and it provides useful status information. With LMIC-node it is easy to get a working node quickly up and running. LMIC-node supports many popular (LoRa) development boards out of the box. It uses the Arduino framework, the LMIC LoRaWAN library and PlatformIO.
space-thumbnails
Generates preview thumbnails for 3D model files. Provide a Windows Explorer extensions that adds preview thumbnails for 3D model files.
cnn-rtlsdr
Deep learning signal classification using rtl-sdr dongle