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Showing 3 open source projects for "everything"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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mshv-auto-dx-chaser
Autonomous, intelligent DX hunting engine for MSHV ham radio software
What if your radio could hunt DX the way you do? The Auto DX Chaser watches the bands with the patience of a seasoned operator. It knows P5 is worth dropping everything for. It knows to keep calling that rare African station a little longer. And when someone finally comes back to you, it locks on and never lets go—just like you wouldn't walk away from an in-progress QSO. This isn't automation. It's intuition, codified. The system pulls intelligence from RBN, PSKReporter, and DX Clusters simultaneously—but only calls stations YOUR radio can actually hear. ... -
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LinuxOffice360
A universal desktop operating system.
...Very nice to look at and simple to use, whether you come from Linux, Windows or Mac. Without unnecessary frills, it is equipped with all the necessary software to start working even live. You will find everything in the right place and above all where you expect it to be. The learning curve is lightning fast and you will be productive right away. Linux Ham Radio Office 360 A complete suite of software for the amateur radio Rig Control with full command support for Yaesu, ICOM, Kenwood, Elecraft, Ten-Tec, FlexRadio etc. QSO logging, supports DXing, monitoring and integration of digital modes with WSJT-X, digital modes for RTTY, PSK31 and many more. ... -
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Neural Network signal recognition rtlsdr
Deep learning signal classification (recognition) using rtl-sdr dongle
WARNING: Outdated version here. Everything has been moved to github: https://github.com/randaller/cnn-rtlsdr
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