Showing 5 open source projects for "tiny computer"

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  • 1
    Z80-μLM

    Z80-μLM

    Z80-μLM is a 2-bit quantized language model

    Z80-μLM is a retro-computing AI project that demonstrates a tiny language model (Z80-μLM) engineered to run on an 8-bit Z80 CPU by aggressively quantizing weights down to 2-bit precision. The repository provides a complete workflow where you train or fine-tune conversational models in Python, then export them into a format that can be executed on classic Z80 systems. A key deliverable is producing CP/M-compatible .COM binaries, enabling a genuinely vintage “chat with your computer” experience on real hardware or accurate emulators. ...
    Downloads: 0 This Week
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  • 2
    Easy Background Remover

    Easy Background Remover

    Free offline background remover for Windows - one click, no watermark

    ...The installer is tiny, has no telemetry, places a single desktop shortcut and removes itself after the first run. Private, free, unlimited, and released as free open source software under the MIT license.
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    Downloads: 21 This Week
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  • 3
    YOLOv4-large

    YOLOv4-large

    Scaled-YOLOv4: Scaling Cross Stage Partial Network

    ...This scaling strategy enables the model to adapt to different hardware environments while maintaining a strong balance between speed and detection accuracy. The repository includes multiple model variants such as YOLOv4-tiny, YOLOv4-CSP, and large-scale configurations designed for high-performance detection tasks.
    Downloads: 0 This Week
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  • 4

    Linux TinyCad

    Linux tiny CAD for educational purposes

    Linux TinyCad, or LiniCad, is a tiny CAD used for educational purposes. It is written in Python/Tk and its goals are to be as programmatically easy and small as possible.
    Downloads: 0 This Week
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  • 5
    Revisaid

    Revisaid

    Libre software to help remember visual and verbal facts.

    Revisaid allows you to enter information, including image files, then quizzes you on what you have entered. These quizzes can be saved for future use, and passed on to friends who may also find them useful. It is currently supported on Windows and Linux 2.6+, but in theory should work on any machine with a Python interpreter (and wxPython) installed. Please send feedback/bug reports to revisaid@gmail.com
    Downloads: 0 This Week
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