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airdrum

Air drum with a Leap device

alexa-avs-sample-app

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

am3

AM3 (Donner et al., 2011), the atmospheric component of the GFDL coupled model CM3, was designed with an awareness of key emerging issues in climate science, including aerosol-cloud interactions in climate and climate change, chemistry-climate feedbacks, land and ocean carbon cycles and their interactions with climate change, and decadal prediction. It is GFDL's first global atmospheric model to include cloud-aerosol interactions, with 20 interactive aerosol species. AM3 includes interactive tropospheric and stratospheric chemistry (85 species). AM3 uses emissions to drive its chemistry and aerosols. Its inclusion of stratospheric chemistry and dynamics will enable possible interactions between the stratosphere and troposphere on interannual scales to be included in future studies of decadal predictability. Its stratosphere has increased vertical resolution over AM2, with the uppermost level at about 1 Pascal. AM3's improved simulation of Amazon precipitation will enhance future coupling into an earth-system model. AM3 uses a cubed-sphere implementation of the finite-volume dynamical core. Earth's atmosphere is represented as a cube with six rectangular faces. There is no singularity associated with the north and south poles as with the spherical representation. Computationally, the core is highly scalable and efficient at advecting the large number of tracers associated with AM3's chemistry and aerosols. AM3 uses physically based aerosol activation (Ming et al., 2006) to form cloud droplets. All cloud parameterizations in AM2 were either replaced or augmented to include sub-grid distributions of vertical velocity required for these activation calculations. Sub-grid distributions of vertical velocity are included in AM3's stratiform clouds (Golaz et al., 2011); deep convection (Donner et al., 2001, and Wilcox and Donner, 2007) represented by an ensemble of plumes with mass fluxes and vertical velocities, simple bulk microphysics, and mesoscale updrafts and downdrafts; and shallow convection after Bretherton et al. (2004, Mon. Wea. Rev.) with buoyancy sorting, entraining plumes and vertical velocity. AM3 Code Released March 2012 The code for this model is publicly available. If you are interested in downloading the code, please do so here.

androidautoidrive

Implementations of some Android Auto features as unofficial IDrive apps

ap-hotspot

Automatically creates an infrastructure (Access Point mode) wireless hotspot in Ubuntu that should work with Android and Windows Phone devices

api-examples

Example code for working with the MapMyFitness APIs

apt-cacher-formula

astra-toolbox

ASTRA Tomography Toolbox

audio-spectrogram-example-for-pico

Example project showcasing how to use a Raspberry Pi Pico, Adafruit's PDM MEMS Microphone Breakout, and Adafruit's 2.0" 320x240 Color IPS TFT Display with microSD Card Breakout to "See sound in real-time". 🔊 👀

aws-iot-device-sdk-js

SDK for connecting to AWS IoT from a device using JavaScript/Node.js

bash-it

A community Bash framework.

basis-data-export

Utility that exports and saves your Basis B1 device's uploaded sensor data.

bbc-vamp-plugins

A collection of audio feature extraction algorithms written in the Vamp plugin format.

bento

Packer definitions for building minimal Vagrant baseboxes

bfg-repo-cleaner

Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala

ble-sensor-pi

Simple example for SensorTag with RaspberryPi a Bluetooth Low Engery (BLE GATT) device

bm3d-gpu

CUDA implementation of BM3D

boinc-server-docker

A Docker multi-container application that runs a BOINC server

buildopencv

Scripts for build OpenCV on the NVIDIA Jetson Nano Developer Kit

chromeos-apk

Run Android APKs in Chrome OS OR Chrome in OS X, Linux and Windows.

climate_model_vm

collectd-cuda

collectd exec plugin for collecting nVidia GPU metrics.

containers

Docker containers for easily launching the Folding@home client anywhere!

create_ap

This script creates a NATed or Bridged WiFi Access Point.

cs344

Introduction to Parallel Programming class code

cuda-utilities

Utilities for CUDA programming

cuda_ctypes_windows

Code snippet for CUDA C++ functions in Python through *.dll and ctypes for Windows OS.

dlbook_notation

LaTeX files for the Deep Learning book notation

docker-collectd-write-graphite

Basic collectd server monitoring, writes metrics to Graphite

docker-logitechmediaserver

Docker image for Logitech Media Server (Squeezebox, Slim)