Showing 5 open source projects for "detection"

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  • Passwordless authentication enables a secure and frictionless experience for your users | Auth0 Icon
    Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • 1
    Connectivity

    Connectivity

    Makes Internet connectivity detection more robust by detecting Wi-FI

    Connectivity is a wrapper for Apple's Reachability providing a reliable measure of whether Internet connectivity is available where Reachability alone can only indicate whether an interface is available that might allow a connection. Connectivity's objective is to solve the captive portal problem whereby an iOS device is connected to a WiFi network lacking Internet connectivity. Such situations are commonplace and may occur for example when connecting to a public WiFi network which requires...
    Downloads: 2 This Week
    Last Update:
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  • 2
    DeviceKit

    DeviceKit

    DeviceKit is a value-type replacement of UIDevice

    DeviceKit is a value-type replacement of UIDevice.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Atributika

    Atributika

    Convert text with HTML tags, links, hashtags, mentions, etc.

    Atributika is an easy and painless way to build NSAttributedString. It is able to detect HTML-like tags, links, phone numbers, hashtags, any regex or even standard ios data detectors and style them with various attributes like font, color, etc. Atributika comes with drop-in label replacement AttributedLabel which is able to make any detection clickable. NSAttributedString is really powerful but still a low-level API that requires a lot of work to set up things. It is especially painful...
    Downloads: 0 This Week
    Last Update:
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    ... or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 0 This Week
    Last Update:
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  • Multi-Site Network and Cloud Connectivity for Businesses Icon
    Multi-Site Network and Cloud Connectivity for Businesses

    Internet connectivity without complexity

    As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
  • 5
    LocoKit

    LocoKit

    Location, motion, and activity recording framework for iOS

    A Machine Learning based location recording and activity detection framework for iOS. Combined, simplified Core Location and Core Motion recording. Filtered, smoothed, and simplified location and motion data. Near real-time stationary / moving state detection. Automatic energy use management, enabling all-day recording. Automatic stopping and restarting of recording, to avoid wasteful battery use. Machine Learning-based activity type detection. Improved detection of Core Motion activity types...
    Downloads: 0 This Week
    Last Update:
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