Showing 5 open source projects for "framework"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

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  • User-friendly software for hybrid working and hot desking in your organisation. Icon
    User-friendly software for hybrid working and hot desking in your organisation.

    Desk sharing tool for efficient hybrid working

    Efficient workspace management FlexWhere, a Dutchview application, is a convenient software application for organizations that work flexibly. These organizations employees do not have a fixed workspace. Using FlexWhere, they find out quickly and easily which flex places and meeting rooms are free and where their colleagues are located. The information can be viewed on a display, desktop or laptop. By using the mobile app, FlexWhere can even be consulted outside the office on a tablet or phone. More and more organizations are working with flexible workplaces. That is opening up all kinds of possibilities, but is also raising questions such as: ‘How do I know where there is a free workplace?’, ‘Where can I find the colleague I need?’, ‘Is there a conference space available on this floor?’. FlexWhere answers those questions, so it is ideal for supporting (the transition to) flexible work.
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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...
    Downloads: 3 This Week
    Last Update:
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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: 0 This Week
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  • 3
    TensorFlow.NET

    TensorFlow.NET

    .NET Standard bindings for Google's TensorFlow for developing models

    ...It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. ...
    Downloads: 0 This Week
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  • 4
    ML.NET Samples

    ML.NET Samples

    Samples for ML.NET, an open source and cross-platform machine learning

    ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers. In this GitHub repo, we provide samples that will help you get started with ML.NET and how to infuse ML into existing and new .NET apps. We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. ...
    Downloads: 0 This Week
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  • We help you deliver Virtual and Hybrid Events using our Award Winning end-to-end Event Management Platform Icon
    We help you deliver Virtual and Hybrid Events using our Award Winning end-to-end Event Management Platform

    Designed by event planners for event planners, the EventsAIR platform gives you the ability to manage your event, conference, meeting or function with

    EventsAIR have been anticipating and responding to the ever-changing event industry needs for over 30 years, providing innovative solutions that empower event organizers to create successful events around the globe.
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  • 5
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 2 This Week
    Last Update:
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