Showing 4 open source projects for "disk space analyzers"

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  • 1
    Acontext

    Acontext

    Context data platform for building observable, self-learning AI agents

    Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also...
    Downloads: 1 This Week
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  • 2
    VAMS

    VAMS

    Virtual Assistant Maintenance System

    Virtual Assistant Maintenance System also knowns as VAMS is an AI software application, that helps users with some computer maintenance issues. Application Requirements: Operating System: Windows 8.1/10 /11 Processor: Intel Core i5 or equivalent RAM: 4GB or higher Free Disk Space: 500MB
    Downloads: 1 This Week
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  • 3
    Voice Cloning App

    Voice Cloning App

    A Python/Pytorch app for easily synthesising human voices

    ...Firstly, you'll need to find a deep speech model for your language by going to coqui. You'll then need to download the model.pbmm and alphabet.txt files for your language. Requires Windows 10 or Ubuntu 20.04+ operating system, 5GB+ Disk space, and NVIDIA GPU with at least 4GB of memory & driver version 456.38+ (optional). Automatic dataset generation (with support for subtitles and audiobooks) Additional language support. Local & remote training. Easy train start/stop. Data importing/exporting.
    Downloads: 1 This Week
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  • 4
    Paperless-ng

    Paperless-ng

    A supercharged version of paperless, scan, index and archive docs

    Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to...
    Downloads: 1 This Week
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