Showing 8 open source projects for "user"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 1
    AI File Sorter

    AI File Sorter

    Local AI file organization with categorization and rename suggestions

    AI File Sorter is a cross-platform desktop application that uses AI (local LLMs run on your computer) to organize files and suggest meaningful file names based on real content, not just filenames or extensions. The app can analyze images locally and propose descriptive rename suggestions (for example, IMG_2048.jpg → clouds_over_lake.jpg). It can also analyze document text to improve categorization and renaming. Supported formats include PDF, DOCX, XLSX, PPTX, ODT, ODS, ODP, and common...
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    Downloads: 242 This Week
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  • 2
    Deface GUI -  Face Anonymization Tool

    Deface GUI - Face Anonymization Tool

    Graphical User Interface Face Anonymization Tool

    This application is a professional tool with a graphical user interface that enables anonymization of faces using the Deface Engine. Cross-Platform Compatible (Linux-Windows) NOTE: To use on Windows, first install Python. Then, if necessary, install “pip install deface” (only if necessary).
    Downloads: 11 This Week
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  • 3
    dibnn

    dibnn

    Drop In the Bucket Neural Networks

    One more lightweight neural network in C.
    Downloads: 0 This Week
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  • 4

    Image To Text tools

    ITTT is a Free tool designed to Scan and extract Text from Images.

    Image To Text Tools is a 100% Free user-friendly tool designed to Scan and extract containing text in images into editable text formats. Whether you need to extract text from scanned documents, photographs, or other image files, Image To Text Tools provides accurate and reliable Optical Character Recognition (OCR) capabilities to meet your needs.
    Downloads: 17 This Week
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

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  • 5
    Exadel CompreFace

    Exadel CompreFace

    Leading free and open-source face recognition system

    Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace. The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to...
    Downloads: 9 This Week
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  • 6
    GoodByeCatpcha

    GoodByeCatpcha

    Solver ReCaptcha v2 Free

    An async Python library to automate solving ReCAPTCHA v2 by images/audio using Mozilla's DeepSpeech, PocketSphinx, Microsoft Azure’s, Google Speech and Amazon's Transcribe Speech-to-Text API. Also image recognition to detect the object suggested in the captcha. Built with Pyppeteer for Chrome automation framework and similarities to Puppeteer, PyDub for easily converting MP3 files into WAV, aiohttp for async minimalistic web-server, and Python’s built-in AsyncIO for convenience.
    Downloads: 0 This Week
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  • 7
    LabelImg

    LabelImg

    Graphical image annotation tool and label object bounding boxes

    LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it also supports YOLO and CreateML formats. Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8. However, Python 3 or above and PyQt5 are strongly recommended. Virtualenv can avoid a lot of the QT / Python version issues. Build and launch using the...
    Downloads: 47 This Week
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  • 8
    retina.js

    retina.js

    JavaScript helpers for rendering high-resolution image variants

    retina.js makes it easy to serve high-resolution images to devices with displays that support them. You can prepare images for as many levels of pixel density as you want and let retina.js dynamically serve the right image to the user. retina.js assumes you are using Apple's prescribed high-resolution modifiers (@2x, @3x, etc) to denote high-res image variants on your server. It also assumes that if you have prepared a variant for a given high-res environment, that you have also prepared variants for each environment below it. For example, if you have prepared 3x variants, retina.js will assume that you have also prepared 2x variants. ...
    Downloads: 0 This Week
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