Showing 2 open source projects for "telegram source code"

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  • TelemetryTV content management and device management Icon
    TelemetryTV content management and device management

    Simple and intuitive digital signage software.

    <section class="row"> <div class="small-12 columns"> <p class="description">TelemetryTV is a powerful digital signage platform built for the modern communicator who needs to engage audiences, generate awareness, or give their community a voice. TelemetryTV allows users to broadcast dynamic content easily by streaming video, images, social feeds, turnkey apps, and data-driven dashboards to all of your displays wherever they are. TelemetryTV powers marketing and internal communications at Starbucks, New York Public Library, Stanford University, and more.</p> </div> </section>
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  • Marketing automation for any business | ActiveCampaign Icon
    Marketing automation for any business | ActiveCampaign

    Your team of AI agents handles email, SMS, WhatsApp and more for you

    Active Intelligence revolutionizes how you work. You guide direction while AI handles execution, acts on insights, and shows you the path forward. It's how marketing should be.
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    DotVVM

    DotVVM

    Open source MVVM framework for Web Apps

    DotVVM is an open-source framework for ASP.NET. It lets you create web apps using the MVVM pattern, with just C# and HTML. DotVVM can be used to build new ASP.NET Core web apps, or to modernize legacy ASP.NET apps and migrate them to .NET 5. Save your time with GridView, FileUpload and other components shipped with the framework. Don't spend the time building an API.
    Downloads: 1 This Week
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  • 2
    Lightly

    Lightly

    A python library for self-supervised learning on images

    A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training...
    Downloads: 0 This Week
    Last Update:
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