Showing 8 open source projects for "pml"

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  • 1
    PML

    PML

    The easiest way to use deep metric learning in your application

    This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you...
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  • 2

    GMES

    GMES is a free Python package for FDTD electromagnetic simulations.

    GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST...
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  • 3

    FDAC3DMOD

    an open source 3D acoustic forward simulation software package

    fdac3dmod is an open source 3D acoustic forward simulation software. It solves 3D acoustic velocity-pressure equations via finite-difference time-domain (FDTD) method with perfectly matched layers (PML) used as the boundary condition.
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  • 4
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  • 5
    A major mode written for GNU Emacs 22.1 to edit PML files (*.pmlobj, *.pmlfnc, *.pmlfrm and *.mac). PML is the programming language used in Aveva PDMS (Plant Design Management System) to interact with the database, design new objects and run macros.
    Downloads: 1 This Week
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  • 6
    Unit testing framework for PDMS/PML
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  • 7
    A Palm Markup Language (PML) editor for the Palm eBook Reader.
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  • 8
    P2P multicast Library (PML) provides an API to P2P applications to support the transport of resources between P2P applications using IP multicast. State of the art technologies will be used to provide reliability, scalability and congestion control.
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