Showing 3 open source projects for "artificial neural network code"

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  • 1
    ANE Training

    ANE Training

    Training neural networks on Apple Neural Engine via APIs

    ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by...
    Downloads: 1 This Week
    Last Update:
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  • 2
    OculiX

    OculiX

    Visual Automation IDE — automate anything you see on screen

    OculiX is the evolution of SikuliX, actively maintained with the full agreement of its original creator RaiMan. Automate any desktop application using image recognition (OpenCV) and OCR (Tesseract + PaddleOCR). No access to source code or DOM required — if you can see it, you can automate it. Key features: - Guided step-by-step recorder with live code preview - Image recognition via OpenCV 4.10 - Dual OCR: Tesseract (built-in) + PaddleOCR (neural, high precision) - Local and remote...
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    Downloads: 108 This Week
    Last Update:
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  • 3
    A class library written in Objective-C++ for building models of connectionist networks (neural networks). The class-hierarchy is designed to be maximally general and expandable, but also to support specific types of network.
    Downloads: 0 This Week
    Last Update:
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