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    PyMLG - Matrix Lie groups with Numpy, Pytorch, Jax, and C++ implementations!
    Digital AssetAvailable

    PyMLG - Matrix Lie groups with Numpy, Pytorch, Jax, and C++ implementations!

    Faculty of Engineering
    Mechanical Engineering
    McGill University

    An instantiation-free python package for common matrix Lie group operations implemented as pure static classes. Using pure static classes keeps the usage extremely simple while still allowing for abstraction and inheritance. We do not introduce new objects with stateful behavior that must be learnt. Everything operates directly on arrays/tensors. This allows users to implement their own more sophisticated objects using these classes as back-end mathematical implementations.

    DECAR

    DECAR

    Faculty of Engineering

    Research lab focused on advancing scientific knowledge and innovation.

    JF

    James Richard Forbes

    Digital AssetAvailable

    PyMLG - Matrix Lie groups with Numpy, Pytorch, Jax, and C++ implementations!

    Faculty of Engineering
    Mechanical Engineering
    McGill University

    An instantiation-free python package for common matrix Lie group operations implemented as pure static classes. Using pure static classes keeps the usage extremely simple while still allowing for abstraction and inheritance. We do not introduce new objects with stateful behavior that must be learnt. Everything operates directly on arrays/tensors. This allows users to implement their own more sophisticated objects using these classes as back-end mathematical implementations.

    PyMLG - Matrix Lie groups with Numpy, Pytorch, Jax, and C++ implementations!
    DECAR

    DECAR

    Faculty of Engineering

    Research lab focused on advancing scientific knowledge and innovation.

    JF

    James Richard Forbes

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    © 2026 LabGiant
    Privacy PolicyTerms of Service