Showing 2 open source projects for "iris recognition source code python"

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  • Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery. Icon
    Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery.

    Ideal for websites, apps, e-commerce, CRMs, and more

    Melis is a new generation of Content Management System and eCommerce platform to achieve and manage websites from a single web interface easy to use while offering the best of open source technology.
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  • Monitoring, Securing, Optimizing 3rd party scripts Icon
    Monitoring, Securing, Optimizing 3rd party scripts

    For developers looking for a solution to monitor, script, and optimize 3rd party scripts

    c/side is crawling many sites to get ahead of new attacks. c/side is the only fully autonomous detection tool for assessing 3rd party scripts. We do not rely purely on threat feed intel or easy to circumvent detections. We also use historical context and AI to review the payload and behavior of scripts.
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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: 1 This Week
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  • 2
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
    Downloads: 0 This Week
    Last Update:
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