Showing 8 open source projects for "graph class"

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  • 1
    Proximus for Ryzen AI

    Proximus for Ryzen AI

    Runtime extension of Proximus enabling Deployment on AMD Ryzen™ AI

    This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and...
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  • 2
    dorban

    dorban

    A demo for the Svarog AI library.

    This project is a demo based on a Svarog AI library, which can be downloaded from https://github.com/pawelbiernacki/svarog . It contains a player (Pregor) controlled by the user and an NPC (Dorban) controlled by the Svarog interpreter. The objective is to kill the vampire. Or at least to attack him with the optimal chances. The Svarog AI library contains a new optimization algorithm based on so called hidden variables. In order to achieve the objective Dorban will try to convince Pregor to...
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  • 3
    SINGA

    SINGA

    A distributed deep learning platform

    ...SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc. SINGA records the computation graph and applies the backward propagation automatically after forward propagation. The optimization of memory are implemented in the Device class. SINGA supports loading ONNX format models and saving models defined using SINGA APIs into ONNX format, which enables AI developers to use models across different libraries and tools. SINGA supports the time profiling of each of the operators buffered in the graph. ...
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  • 4
    Cogitant
    The Cogitant library is a set of C++ classes enabling to easily build applications based on the Conceptual Graph model.
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  • 5
    The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser". If you want to use this software for research, please reference this web address in your papers
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  • 6
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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  • 7
    An adaptive neural network and evolutionary algorithms approach to the machine learning tasks, based on the modular graph grammars. Tested on the "two spirals problem" and other tasks. Implemented in Matlab and C++.
    Downloads: 0 This Week
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  • 8
    RectaGraphTrace aims to assist in step-by-step visualization of graph search algorithms by displaying graphs and automating the creation and correction of graph traces such as those that a student would produce while manually executing a search.
    Downloads: 0 This Week
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