Showing 2 open source projects for "llama-cpp-static"

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  • Quality and compliance software for growing life science companies Icon
    Quality and compliance software for growing life science companies

    Unite quality management, product lifecycle, and compliance intelligence to stay continuously audit-ready and accelerate market entry

    Automate gap analysis across FDA, ISO 13485, MDR, and 28+ regulatory standards. Cross-map evidence once, reuse across submissions. Get real-time risk alerts and board-ready dashboards, so you can expand into new markets with confidence
    Learn More
  • PeerGFS PEER Software - File Sharing and Collaboration Icon
    PeerGFS PEER Software - File Sharing and Collaboration

    One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage

    PeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments.
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  • 1
    Screenshot to Code

    Screenshot to Code

    A neural network that transforms a design mock-up into static websites

    Screenshot-to-code is a tool or prototype that attempts to convert UI screenshots (e.g., of mobile or web UIs) into code representations, likely generating layouts, HTML, CSS, or markup from image inputs. It is part of a research/proof-of-concept domain in UI automation and image-to-UI code generation. Mapping visual design to code constructs. Code/UI layout (HTML, CSS, or markup). Examples/demo scripts showing “image UI code”.
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  • 2
    Face Mask Detection

    Face Mask Detection

    Face Mask Detection system based on computer vision and deep learning

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. ...
    Downloads: 0 This Week
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