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Showing 4 open source projects for "word processor python"

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    Signal Ranger DSP Linux Support Tools
    This project delivers Linux support (USB driver and Tools) for a Digital Signal Processor (DSP) cards of the Signal Ranger series, see http://www.softdb.com/product_dsp.shtml for details) connected to a Linux host via USB.
    1 Review
    Downloads: 0 This Week
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  • 2
    TeLOS Linux

    TeLOS Linux

    humbly smart Operating System - Debian derivative

    TeLOS is a new, universal Linux distribution, a carefully customized derivative of Debian bullseye / sid with KDE Plasma Desktop Environment featuring an unbiased selection of useful applications and services. You may find TeLOS Linux to be snappy, lightweight, ready for work or fun straight out of the box and easily configurable. This Operating System is freely distributed and honors free, open source software development. Nevertheless, some non-free proprietary packages are included to...
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    7 Reviews
    Downloads: 6 This Week
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  • 3

    COFILOS

    A Development Framework for Coldfire

    Contains a framework for Coldfire MCUs like 52254. The framework supports a Command Line Interface (CLI) that may work from Serial port, USB or ENET. The framework uses Processor Expert and IDE requirement is MCU Eclipse 10.4 from Freescale. Includes the FunkOS Realtime Operating System by Funkenstein Software Consulting, available at http://funkos.sourceforge.net Mainly it is a support package for the development board Perseus, but I have ported also the RTOS to MCF52233DEMO...
    Downloads: 0 This Week
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  • 4
    The Stakker project aims to develop Linux drivers and GUI CD management applications with a SQL backend for CD/DVD library/archiving boxes. The Dutch word "Stakker" means "poor blighter" (says babelfish) :-). Imation Stakka works, CD-300 not yet.
    Downloads: 0 This Week
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    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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