Showing 5 open source projects for "paper"

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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 memory in its default configuration. ...
    Downloads: 2 This Week
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  • 2
    Saksham: Multi-Core Processor Simulator

    Saksham: Multi-Core Processor Simulator

    x86 Multi-Core Microprocessor and assembler simulator written in C++

    ...A C++ Project aimed at creating a platform for simulating basic features (Register and Instruction Set) of a x86 Based Multi Core Microprocessor and assembler family. This project is implementation of the concept presented in the paper: https://ieeexplore.ieee.org/document/5231896 Documentation: https://sourceforge.net/p/saksham/wiki/Home/
    Downloads: 0 This Week
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  • 3
    RefineNet

    RefineNet

    RefineNet: Multi-Path Refinement Networks

    RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. ...
    Downloads: 9 This Week
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  • 4
    Behaviour Control Framework

    Behaviour Control Framework

    A C++ framework that uses inhibition trees for behaviour control.

    The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for...
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    State Controller Library

    State Controller Library

    A C++ framework that implements generalised finite state machines.

    The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt...
    Downloads: 0 This Week
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