Showing 3 open source projects for "deep"

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  • 1
    Everything cURL

    Everything cURL

    The book documenting the curl project, the curl tool, libcurl

    ...The project is written as an open source book (CC-BY-4.0) and is available in multiple formats and locations, including an online website, PDF, and ePub so readers can pick the format that suits them. Content ranges from beginner-friendly tutorials and usage examples to deep dives into internals, protocols, bindings, build instructions, and advanced deployment scenarios, making the book useful for both casual users and experienced developers. The repository is large and actively maintained with many commits, organized chapters and helper scripts to build, index and publish the book; the site rendering is powered by mdBook and hosted for easy online reading.
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  • 2
    Awesome Graph Classification

    Awesome Graph Classification

    Graph embedding, classification and representation learning papers

    A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
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  • 3
    Computer Vision

    Computer Vision

    Best Practices, code samples, and documentation for Computer Vision

    In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive...
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