Showing 5 open source projects for "g code"

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    Jittor

    Jittor

    Jittor is a high-performance deep learning framework

    Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement...
    Downloads: 0 This Week
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  • 2
    FilterPy

    FilterPy

    Python Kalman filtering and optimal estimation library

    ...It implements standard, extended, and unscented Kalman filters, along with Kalman smoothers. The package also includes particle filters, least-squares filters, fading-memory filters, g-h filters, discrete Bayes methods, and H-infinity tools. Its code favors readability and close correspondence with the underlying equations. NumPy and SciPy handle the numerical work, with Matplotlib commonly used for visualization. The library accompanies the book Kalman and Bayesian Filters in Python and is useful for learning, prototyping, tracking, navigation, and estimation experiments.
    Downloads: 0 This Week
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  • 3

    pyGerber2Gcode

    Python Gerber to G-code converter

    pyGerber2Gcode is a Pyhon based simple Gerber to G-code converter.
    Downloads: 1 This Week
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  • 4
    xot is an XML-based data model description framework whose main purpose is to allow developers to describe data models in a common language and then generate useful things from it, such as SQL commands for creating databases, database documentation, and g
    Downloads: 0 This Week
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  • 5
    "No comment!" is a command-line tool that generates various comment-related metrics for source code files (e. g. comment density, blank lines per file)
    Downloads: 3 This Week
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