Showing 3 open source projects for "web server php perl python"

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    Automatically generate, document, and govern your entire data architecture.

    Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications
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    Quality and compliance software for growing life science companies

    Unite quality management, product lifecycle, and compliance intelligence to stay continuously audit-ready and accelerate market entry

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  • 1
    Google Cloud Vision API examples

    Google Cloud Vision API examples

    Sample code for Google Cloud Vision

    The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,...
    Downloads: 0 This Week
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  • 2
    Ansible Examples

    Ansible Examples

    A few starter examples of ansible playbooks, to show features

    This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be...
    Downloads: 2 This Week
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  • 3
    Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
    Downloads: 7 This Week
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