Showing 2 open source projects for "php-java-bridge"

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    Employees get more done with Rippling

    Streamline your business with an all-in-one platform for HR, IT, payroll, and spend management.

    Effortlessly manage the entire employee lifecycle, from hiring to benefits administration. Automate HR tasks, ensure compliance, and streamline approvals. Simplify IT with device management, software access, and compliance monitoring, all from one dashboard. Enjoy timely payroll, real-time financial visibility, and dynamic spend policies. Rippling empowers your business to save time, reduce costs, and enhance efficiency, allowing you to focus on growth. Experience the power of unified management with Rippling today.
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  • GR4VY: Payment Orchestration Platform Icon
    GR4VY: Payment Orchestration Platform

    Payment orchestration platform that connects PSPs, methods, and tools in one layer, streamlining payments and increasing success rates.

    Gr4vy’s payment orchestration platform empowers enterprise merchants and platforms to optimize their stack and create bespoke checkout experiences, giving you full control over your payment strategy.
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    OpenCV

    OpenCV

    Open Source Computer Vision Library

    The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials!...
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    Downloads: 2,930 This Week
    Last Update:
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  • 2
    ConvNeXt

    ConvNeXt

    Code release for ConvNeXt model

    ...It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure makes it efficient for both pretraining and fine-tuning across a wide range of visual recognition tasks. It achieves competitive or superior results on ImageNet and downstream datasets while being easier to deploy and train than transformers. ...
    Downloads: 0 This Week
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