Showing 7 open source projects for "postprocessing"

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    Trixi.jl

    Trixi.jl

    Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs

    ...Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.
    Downloads: 3 This Week
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  • 2
    SageMaker Hugging Face Inference Toolkit

    SageMaker Hugging Face Inference Toolkit

    Library for serving Transformers models on Amazon SageMaker

    SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. ...
    Downloads: 0 This Week
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  • 3
    MMDeploy

    MMDeploy

    OpenMMLab Model Deployment Framework

    ...Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy.
    Downloads: 1 This Week
    Last Update:
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  • 4
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). ...
    Downloads: 0 This Week
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  • 5
    XPL

    XPL

    Unity Post Processing Stack Library

    ...The project also includes shader implementations and configurable parameters, giving users fine control over visual output. It is particularly useful for achieving cinematic or stylized aesthetics in games. Overall, X-PostProcessing-Library offers a powerful toolkit for enhancing graphics in Unity applications.
    Downloads: 0 This Week
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  • 6
    yorick

    yorick

    scientific programming language and graphics

    Yorick is an interpreted programming language for scientific simulations or calculations, postprocessing or steering large simulation codes, interactive scientific graphics, and reading, writing, or translating large files of numbers.
    Downloads: 3 This Week
    Last Update:
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  • 7
    Eclipse JDT Plugin to clean fully qualified types within Java source code by creating import statements. There also exists a Xpand 1.0 integration. See project site for installation files.
    Downloads: 0 This Week
    Last Update:
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