Showing 4 open source projects for "developer"

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  • 1
    ML.NET

    ML.NET

    Open source and cross-platform machine learning framework for .NET

    With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. ...
    Downloads: 1 This Week
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  • 2
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    ...This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.
    Downloads: 2 This Week
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  • 3
    Microsoft AI Lab

    Microsoft AI Lab

    Explore, learn, and code the latest breakthrough AI innovations

    Explore our most popular projects and experiments, demonstrating the possibilities of AI. Jumpstart your own AI innovations with learning resources and development solutions from Microsoft AI. Explore insights and behind-the-scenes technology for breakthrough AI innovations. From Tech Minutes videos to Technology Deep Dives, learn about the engineering that powers the future of AI. AI at Scale is expanding the possibilities of AI innovation by pushing the boundaries of infrastructure,...
    Downloads: 0 This Week
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  • 4
    An open Gnutella network library based on GnucDNA. It is platform-independent, developer-friendly and efficient, developed in portable C++. Easy enough for the casual P2P developer and advanced enough to satisfy the research project needs.
    Downloads: 2 This Week
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