• $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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    Build Agents and Models on One Platform

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  • 1
    Omi

    Omi

    AI that sees your screen and listens to conversations

    ...The platform operates across multiple environments, including wearable devices, mobile apps, and desktop applications, ensuring seamless integration into a user’s daily workflow. At its core, omi uses a pipeline of speech-to-text systems, large language models, and memory storage services to transform raw audio and context into meaningful outputs like tasks and reminders. The architecture is modular and extensible, featuring APIs, SDKs, and plugin-like capabilities that allow developers to build custom applications.
    Downloads: 4 This Week
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  • 2
    Loss

    Loss

    The Brutalist Market Analyzer

    ...LOSS solves this by automating the math and reading the news for you. Instead of a monolithic architecture, LOSS uses a Split-Stack approach: A Vercel Relay handles raw data fetching, bypassing CORS and rate limits. A Render Python Backend acts as the "Brain," executing heavy machine learning and NLP tasks. Try the live application in action here: https://loss-by-vignesh.vercel.app before downloading the source code Visit For More Details : https://github.com/Vignesh-72/Loss
    Downloads: 0 This Week
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  • 3
    SmartOpenCV

    SmartOpenCV

    OpenCV enhancement library for Android

    ...It provides pre-built modules and optimized pipelines for tasks such as object detection, image transformation, and feature extraction, reducing the need for low-level implementation. The framework is designed to be more developer-friendly than raw OpenCV by offering cleaner APIs and reusable components that accelerate development. It supports integration with machine learning models, enabling hybrid workflows that combine traditional computer vision techniques with modern AI approaches. SmartOpenCV is suitable for applications such as robotics, surveillance, augmented reality, and image analysis, where efficient and reliable processing is required. ...
    Downloads: 0 This Week
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  • 4

    KSUCCA Corpus

    A 50 million tokens corpus of Classical Arabic.

    King Saud University Corpus of Classical Arabic (KSUCCA) is a pioneering 50 million tokens annotated corpus of Classical Arabic texts from the period of pre-Islamic era until the fourth Hijri century (equivalent to the period from the seventh until early eleventh century CE), which is the period of pure classical Arabic. The main aim of this corpus is to be used for studying the distributional lexical semantics of The Quran words. However, it can be used for other research purposes, such...
    Downloads: 6 This Week
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    One Monitoring Tool for IT, OT and Cloud | Free Trial

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