Showing 4 open source projects for "android emulator software"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • Network Management Software and Tools for Businesses and Organizations | Auvik Networks Icon
    Network Management Software and Tools for Businesses and Organizations | Auvik Networks

    Mapping, inventory, config backup, and more.

    Reduce IT headaches and save time with a proven solution for automated network discovery, documentation, and performance monitoring. Choose Auvik because you'll see value in minutes, and stay with us to improve your IT for years to come.
    Learn More
  • 1
    LÖVR

    LÖVR

    Lua Virtual Reality engine

    An open-source framework for rapidly building immersive 3D experiences. You can use LÖVR to easily create VR experiences without much setup or programming experience. The framework is tiny, fast, open-source, and supports lots of different platforms and devices. Runs on Windows, Mac, Linux, Android, WebXR. Supports Vive/Index, Oculus Rift/Quest, Pico, Windows MR, and has a VR simulator. Simple VR scenes can be created in just a few lines of Lua. Writen in C99 and scripted with LuaJIT,...
    Downloads: 2 This Week
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  • 2
    NatML

    NatML

    High performance, cross-platform machine learning for Unity Engine

    NatML allows developers to integrate machine learning into their Unity applications in under five lines of code with zero infrastructure. NatML completely removes the need to have any experience with machine learning in order to take advantage of the features it can provide. NatML takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows. As a result, it is multiple times faster than Unity's own Barracuda engine. NatML...
    Downloads: 0 This Week
    Last Update:
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  • 3
    IdeaSpaceVR

    IdeaSpaceVR

    Create interactive 3D and VR web experiences

    IdeaSpaceVR is a free, open-source, self-hosted CMS platform. Manage your virtual reality spaces and assets like you would manage blog posts. Run it on your own server. All you need is PHP and a database (MySQL, PostgreSQL or MariaDB). VR experience is a website using a theme. There are a couple of pre-installed themes: IdeaSpace Compass Blog, Image Slideshow, IdeaSpace 360, IdeaSpace 3D Model. Check out the examples! Need a different theme? Look at our theme directory or create your own by...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Lvr

    Lvr

    Augmented Reality for everyone, out of the world experiences

    Lvr contains the 3D and WebVR boilerplates required to get running across platforms including mobile, desktop, Vive, and Rift. It works on any phone with WebGL and WebRTC. HTML is easy to read and copy-and-paste. Since Lvr can be used from HTML, Lvr is accessible to everyone: web developers, VR enthusiasts, educators, artists, makers, kids. It is completely open source and free of charge! Lvr is a powerful framework on top of three.js, providing a declarative, composable, reusable...
    Downloads: 1 This Week
    Last Update:
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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