Showing 4 open source projects for "linux with nvidia iso"

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  • 1
    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared...
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  • 2
    Caffe

    Caffe

    A fast open framework for deep learning

    Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and...
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  • 3
    OCILIB - C and C++ Driver for Oracle

    OCILIB - C and C++ Driver for Oracle

    Open source C and C++ library for accessing Oracle Databases

    OCILIB is an open source and cross platform Oracle Driver that delivers efficient access to Oracle databases. It offers a full featured, easy and productive API. Written in ISO C and C++ on top of OCI, OCILIB runs on all Oracle platforms. NOTE : The project has moved to GitHub ! Website URL : http://www.ocilib.net GitHub URL : https://github.com/vrogier/ocilib
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  • 4
    CANNOT - Coyote Annotation. This framework was developed in JAVA and its API's facilitates to the reuse of code and the sharing of information through to the architecture in layers and standard ISO MPEG-7 used for the Digital Video Content Annotations..
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