Showing 6 open source projects for "quality"

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  • 1
    Highlight Code Converter

    Highlight Code Converter

    Source code to formatted text converter

    Highlight is a source code to formatted text converter. It generates HTML, XHTML, RTF, ODT, LaTeX, TeX, SVG, BBCode and terminal escape sequences with coloured syntax highlighting. Language definitions and colour themes are Lua scripts and support plugins
    Downloads: 7 This Week
    Last Update:
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  • 2
    Automatic Drawing Generation

    Automatic Drawing Generation

    A canvas library for generating technical drawings

    The ADG library (Automatic Drawing Generation) is a set of functions focused on automating the drawing of mechanical parts. It is not a CAD system but a GObject-based library where a custom application can put common CAD entities such as paths, hatches and dimensions, to automatically create technical drawings. A demo application is provided in order to show the capabilities of the canvas. Although it is possible to interact with the library directly in C (that is what the adg-demo...
    Downloads: 1 This Week
    Last Update:
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  • 3
    HTTP Test Tool
    httest is a script based tool for testing and benchmarking web applications, web servers, proxy servers and web browsers. httest can emulate clients and servers in the same test script, very useful for testing proxys.
    Downloads: 2 This Week
    Last Update:
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  • 4
    fast-neural-style

    fast-neural-style

    Feedforward style transfer

    ...It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations.
    Downloads: 0 This Week
    Last Update:
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  • 5
    char-rnn

    char-rnn

    Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)

    char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. ...
    Downloads: 0 This Week
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  • 6
    pepper

    pepper

    Repository statistics and report tool

    pepper is a command-line tool for retrieving statistics and generating reports from source code repositories. It ships with several graphical and textual reports, and is easily extendable using the Lua scripting language.
    Downloads: 0 This Week
    Last Update:
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