Showing 5 open source projects for "computer simulation software"

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  • Electronic Lab Notebook (ELN) Software Icon
    Electronic Lab Notebook (ELN) Software

    Ideal for any lab. Whether you’re just starting up, a small or large academic institution, or a globally operating company.

    eLabJournal is an all-in-one Electronic Lab Notebook (ELN) software that includes sample tracking and protocol management modules.
    Learn More
  • Windocks - Docker Oracle and SQL Server Containers Icon
    Windocks - Docker Oracle and SQL Server Containers

    Deliver faster. Provision data for AI/ML. Enhance data privacy. Improve quality.

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances.
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  • 1
    TorchIO

    TorchIO

    Medical imaging toolkit for deep learning

    ...Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity.
    Downloads: 8 This Week
    Last Update:
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  • 2
    Albumentations

    Albumentations

    Fast image augmentation library and an easy-to-use wrapper

    Albumentations is a computer vision tool that boosts the performance of deep convolutional neural networks. Albumentations is a Python library for fast and flexible image augmentations. Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection....
    Downloads: 1 This Week
    Last Update:
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  • 3
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 23 This Week
    Last Update:
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  • 4
    Gluon CV Toolkit

    Gluon CV Toolkit

    Gluon CV Toolkit

    GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,...
    Downloads: 0 This Week
    Last Update:
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  • The Cloud Sales Acceleration Platform Icon
    The Cloud Sales Acceleration Platform

    For businesses wanting a platform to list, manage, and co-sell on cloud marketplaces with minimal engineering effort

    Streamline and automate your cloud sales cycle, enhance operational efficiency, and capitalize on marketplace opportunities with the Clazar Cloud Sales Acceleration Platform.
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  • 5
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    " Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including...
    Downloads: 5 This Week
    Last Update:
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