Showing 4 open source projects for "linux malware detect"

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  • 1
    Tesseract.js

    Tesseract.js

    A pure Javascript Multilingual OCR

    Tesseract.js is a pure Javascript port of the popular Tesseract OCR engine. Tesseract.js' library supports more than 100 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS. Tesseract.js is a javascript library that gets words in almost any spoken language out of images. The main Tesseract.js functions (ex. recognize, detect) take an image...
    Downloads: 16 This Week
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  • 2
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 3 This Week
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  • 3
    Dark Mode Leakage Radar

    Dark Mode Leakage Radar

    Quantum Radar for Dark Mode Leakage Detection Standard Radar Returns

    Spectral duality filter that extracts green-speck entanglement residuals and blue-halo IR fusion to detect stealth objects by revealing dark-mode leakage in ordinary radar returns. Features Live version Live try: https://stealthpdpradar.streamlit.app/ Beta Live https://qcaustfordmodel.streamlit.app/ PDP Quantum Filter: Implements photon-dark-photon kinetic mixing and von Neumann evolution Dark-Mode Leakage Detection: Reveals quantum entanglement signatures of...
    Downloads: 2 This Week
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  • 4
    Face Alignment

    Face Alignment

    2D and 3D Face alignment library build using pytorch

    Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. However, the users can alternatively...
    Downloads: 0 This Week
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