Showing 6 open source projects for "open-vm-tools"

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  • 1
    NSFWDetector

    NSFWDetector

    A NSFW detector with CoreML

    NSFWDetector is a small (17 kB) CoreML Model to scan images for nudity. It was trained using CreateML to distinguish between porn/nudity and appropriate pictures. With the main focus on distinguishing between Instagram model-like pictures and porn.
    Downloads: 10 This Week
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  • 2
    LlamaChat

    LlamaChat

    Chat with your favourite LLaMA models in a native macOS app

    Chat with your favourite LLaMA models, right on your Mac. LlamaChat is a macOS app that allows you to chat with LLaMA, Alpaca, and GPT4All models all running locally on your Mac.
    Downloads: 0 This Week
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  • 3
    course-v3

    course-v3

    The 3rd edition of course.fast.ai

    course-v3 repository contains the complete learning materials for the third edition of the Practical Deep Learning for Coders course developed by the fast.ai research group. The repository includes Jupyter notebooks, lesson materials, datasets, and supporting documentation used in the course to teach modern deep learning techniques. The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying...
    Downloads: 0 This Week
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  • 4
    Swift for TensorFlow

    Swift for TensorFlow

    Swift for TensorFlow

    Swift for TensorFlow repository contains the open-source implementation of Swift for TensorFlow, a project that integrates machine learning capabilities directly into the Swift programming language. The initiative aims to provide a new programming model for developing machine learning systems by combining the power of TensorFlow with language-level features such as automatic differentiation and strong type systems.
    Downloads: 0 This Week
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  • 5
    Bender

    Bender

    Easily craft fast Neural Networks on iOS

    ...Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. Apple released conversion tools to create CoreML models which then can be run easily. Finally, there is no easy way to add additional pre or post-processing layers to run on the GPU.
    Downloads: 0 This Week
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  • 6
    Swift AI

    Swift AI

    The Swift machine learning library

    ...We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.
    Downloads: 0 This Week
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