Showing 32 open source projects for "cnn"

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  • 1
    cnn-benchmarks

    cnn-benchmarks

    Benchmarks for popular CNN models

    The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency.
    Downloads: 0 This Week
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  • 2
    Neural Network signal recognition rtlsdr

    Neural Network signal recognition rtlsdr

    Deep learning signal classification (recognition) using rtl-sdr dongle

    WARNING: Outdated version here. Everything has been moved to github: https://github.com/randaller/cnn-rtlsdr
    Downloads: 1 This Week
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  • 3
    Lip Reading

    Lip Reading

    Cross Audio-Visual Recognition using 3D Architectures

    ...The essential problem is to find the correspondence between the audio and visual streams, which is the goal of this work. We proposed the utilization of a coupled 3D Convolutional Neural Network (CNN) architecture that can map both modalities into a representation space to evaluate the correspondence of audio-visual streams using the learned multimodal features.
    Downloads: 2 This Week
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  • 4
    PyCNN

    PyCNN

    Image Processing with Cellular Neural Networks in Python

    Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors.
    Downloads: 0 This Week
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  • 5
    Question Answering Corpus

    Question Answering Corpus

    Question answering dataset in "Teaching Machines to Read & Comprehend"

    RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the Wayback Machine and automatically generating cloze-style questions where entities in the text are replaced with placeholders. ...
    Downloads: 1 This Week
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  • 6
    Newspaper3k

    Newspaper3k

    News, full-text, and article metadata extraction in Python 3

    ...Although installing newspaper is simple with pip, you will run into fixable issues if you are trying to install on ubuntu. Source objects are an abstraction of online news media websites like CNN or ESPN. You can initialize them in two different ways. Building a Source will extract its categories, feeds, articles, brand, and description for you. You may also provide configuration parameters like language, browser_user_agent, and etc seamlessly.
    Downloads: 0 This Week
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  • 7
    Program pro zobrazování televizních programů českých a některých zahraničních televizí. Zahrnuty jsou televize jako např. ČT1, ČT2, Nova, Prima, BBC, CNN, Discovery.
    Downloads: 0 This Week
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