Search Results for "computer architecture simulator"

Showing 5 open source projects for "computer architecture simulator"

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  • 1
    AnaSP

    AnaSP

    AnaSP, a MATLAB software suite to ANAlyse SPheroids' features

    ...AnaSP is a suite tool for automatic analysis of morphological parameters of spheroids starting by brightfield images manually acquired with a standard widefield microscope. AnaSP is distributed as an open source software tool, and its modular architecture and graphical user interface make it attractive also for non-Computer Scientist people, and suitable for both high content screenings and occasional spheroid-based experiments. Please, when using AnaSP, cite: "F. Piccinini, AnaSP: a software suite for automatic image analysis of multicellular spheroids. Computer Methods and Programs in Biomedicine, 119(1):43-52, 2015." ...
    Downloads: 19 This Week
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  • 2
    SFD

    SFD

    S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

    ...The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision.
    Downloads: 5 This Week
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  • 3
    Faster R-CNN

    Faster R-CNN

    Object detection framework based on deep convolutional networks

    This repository provides a MATLAB / Caffe re-implementation of the Faster R-CNN object detection framework (originally from Ren et al. 2015). The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints. Multiple...
    Downloads: 0 This Week
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  • 4
    Netvlad

    Netvlad

    NetVLAD: CNN architecture for weakly supervised place recognition

    NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets.
    Downloads: 0 This Week
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  • 5
    AVRS performs spatial 3D-sound processing allowing the arbitrary placement of sound source in auditory space. The main goal is to develop a genuine experimental flexible platform, that runs in a general-purpose architecture computer (standard hardware and software).
    Downloads: 0 This Week
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