Search Results for "as-project"
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Showing 14 open source projects for "as-project"
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Filt8- v3.6 alerts for WSJT-X FT8
Alert and filter QSO for WSJT-X FT8 FT4
...Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). Filters & alerts WSJT-X FT8 and FT4 output for Mac/Linux/Win. Like JTAlert but minimalist and cross-platform. ... -
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xtc Linux Thin Client 2.5
Linux Thin Client Project
Release 2.5: • Ubuntu operating system also for Raspberry Pi • Display IP address on desktop • File system readable (Overlay FS) also for Ubuntu Make your Raspberry Pi 3, Pi 4, Pi 5 or a Ubuntu PC to a Thin Client system. xtc is easy to install and easy to configure. Connect to your server with RDP, VNC, XDMCP, X2GO or ssh. Make a connection to a server with VPN. Download: https://vmfree.org/xtc/xtcen.html -
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Kalliope
Kalliope is a framework to create your own personal assistant
...You can create your own Kalliope bot, by simply choosing and composing the existing neurons without writing any code. But, if you need a particular module, you can write it by yourself, add it to your project, and propose it to the community. Kalliope can run on all Linux Debian-based distributions including a Raspberry Pi and its multi-lang. The only thing you need is a microphone. -
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Mycroft
Mycroft Core, the Mycroft Artificial Intelligence platform
...Your customers will be able to upgrade their experience with premium content and services. The Mycroft open source voice stack can be freely remixed, extended, and deployed anywhere. Mycroft may be used in anything from a science project to a global enterprise environment. -
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5
Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential... -
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Realtime rear lighting led strip for PC More videos: https://youtu.be/KOzteiKo_Z4 https://youtu.be/8Y_ZgxOdfG0 https://youtu.be/9YNoitDR2JE WARNING: If you are not comfortable working with electronics, soldering and wires, you can mess up your computer, router, Raspberry PI or some people might even find a way to burn down the house! (I watch YouTube, I know you guys are out there...) This is not a beginner project, it involves multiple pieces of equipment and various expertise. Proceed at own risk. Working knowledge of Linux and Windows computers required. This is not a tutorial on how to use your computers. Still here? Awesome! This setup works with a connected PC. You can watch movies and play games with the backglow running. Adds extra ambience to your expeirence. ...
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. -
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iHome by ionware
iHome Smart Home System Platform
...The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. See wiki instructions to burn the SD Card image file, insert into your RPi Zero and Plug and Play. The iHome is an Internet of Things (IOT) demo project for the ionware ionC1 hardware and the software system and is a complete SCADA platform c/w Modbus TCP Servers and Modbus RS485 serial clients for scalable building automation projects. See - ionware.io/free-offer/ -
$300 in Free Credit for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. GROWSS also controls the exhaust fan and grow lights based on the time interval (ie. 12 hours on/12 hours off) &... -
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weatherPi
An extensible weather sensor recording network, based on Raspberry Pis
A distributed network of sensors with a central data store, to record environmental data. Project goals include: * to serve as a teaching outlet for: ** sensor programming ** distributed data collecting ** web APIs ** database ** web UI for numerical data ** graphing data sensibly It also gives me some infotainment in new (to me) technologies, and as an excuse to scatter ever more Raspberry Pis around my home. -
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PyEdit Editor
Configurable Editor in Python
...Tested in Win/Lin/Mac --- Update: Using the editor full time V23 is mature enough for production --- Update: Had to downgrade to PyGTK 2.22.xx as 2,24,x had a double click message bug. (uploaded 22.2 to this project) --- Update: V33 is working as a champ. New features, tablet like drag .. -
13
YoMo
You Only Meter Once - The open hardware smart metering system
...The gathered data is timestamped and transmitted to the coordination device. This device offers interfaces to control the smart meters. On top of the software runs a apache webserver that provides all estimated data on our yomo project homepage. The system does not need any maintenance and works out of the box after the devices were integrated into the households Wi-Fi network. Link to the scientific paper: http://link.springer.com/article/10.1007%2Fs00450-014-0290-8#/page-1 -
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PyRadMon
Automated reporting of Geiger Muller counter readings to RadMon.org
...The point is: let us work together as free people to jointly report and track radiation levels around the globe. Information is power--and more importantly, information can save lives. This project is known to work on Raspberry Pi and various Linux distributions. Both PyRadMon and RadMon.org are completely free, though donations are always appreciated.
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