Showing 6 open source projects for "state-thread"

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  • 1
    QSMM

    QSMM

    An adaptive state model development framework.

    QSMM, a recursive acronym for "QSMM State Machine Model", is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite automatons is adaptive probabilistic mapping, which for an argument from its domain returns more often results that maximize or minimize values of one or more objective functions. ...
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  • 2
    SOD

    SOD

    An Embedded Computer Vision & Machine Learning Library

    ...SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well as commercial products. SOD implements state-of-the-art computer vision algorithms found to be mandatory in real-world application areas. Sobel operator, Otsu's binarization and over 100 image/frame processing & analysis interfaces. Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models.
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  • 3

    HYBRYD

    Library written in C with Python API for IPv6 networking

    ...Will put an IPv6 adress active available as soon as possible so that you can download pieces of codes. The aim of that coding was to use primary linux commands easily codable and make an object of an IPv6 connection. Moreover, the model is full-state!
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  • 4

    C/C++ Perceptron

    A Perceptron library for C/C++

    The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API
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  • 5
    iGREAT is an open-source, statistical machine translation software toolkit based on finite-state models.
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  • 6
    MyNook

    MyNook

    A machine learning system for supervised document classification

    An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.
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