Search Results for "pc" - Page 2
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Showing 34 open source projects for "pc"
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TiVo style recommendation engine for MythTV. MythMagic selects and automatically records shows from your program guide based on previous viewing habits. Recordings can be accepted or rejected to improve recommendation accuracy.
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Addons to the Django Framework for mobile clients. MoGo was originally built to handle JP specific issues, but code to handle other locales are welcome as well. Developed and maintained by MARIMORE Inc http://www.marimore.co.jp THIS PROJECT HAS MOVED TO https://github.com/marimore/mobiledjango
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FAMOUSO is an event-based publish/subscribe middleware written in C++ for systems ranging from 8Bit micro-controllers up to 32Bit PC/Workstations.
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This project contains some test scripts and software for Analog Devices' DSP chip emulators. This verifies whether a particular emulator is working correctly with a particular PC and target board.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Objective-3D is a video-game library developped by Dream Overflow. It works on PC and Machintosh, and it is developped for Windows, Linux and MacOSX plateforms. Developed in C++.
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Python port for Windows CE (Pocket PC) devices. Intended to be as close to desktop version as possible (console, current directory support, testsuite passed).
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NovaX is a set of programs that is being devloped for small company's and beginners in the fields of HTML and programming. Coded in Python and C++, this is also a good replacement for MS Office. NOTE: This requires Python to be on your PC. ( Python.org )
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CompactBSD is a powerful set of tools that allow you to build your own customized, lightweight distribution of OpenBSD and then burn it onto compact flash so that it can be run on an embedded PC platform such as FatPort's FatPoint (www.fatport.com)
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Educational programming language tools written in Python for use with PC/104 computer based robotics teaching at the middle/high school level.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
