Showing 13 open source projects for "knn c++"

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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
  • Control remote support software for remote workers and IT teams Icon
    Control remote support software for remote workers and IT teams

    Raise the bar for remote support and reduce customer downtime.

    ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
  • 1
    DSTK - Data Science TooKit 3

    DSTK - Data Science TooKit 3

    Data and Text Mining Software for Everyone

    DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI...
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  • 2
    The Edge Machine Learning library

    The Edge Machine Learning library

    Machine learning algorithms for edge devices

    Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are...
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  • 3
    libfastknn

    libfastknn

    Fast C++ KNN classifier

    KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.
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  • 4

    GTkNN

    GPU-based Textual kNN (GT-kNN)

    The following code is a parallel kNN implementation that uses GPUs for the high dimensional data in text classification. You can use it to classify documents using kNN or to generate meta-features based on the distances between a query document and its k nearest neigbors
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  • Eptura Workplace Software Icon
    Eptura Workplace Software

    From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.

    With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
  • 5
    tiny-AI Library

    tiny-AI Library

    small and fast C++ library dealing with artificial intelligence

    A fast artificial intelligence library which currently supports: kNN (k-Nearest Neighbor algorithm) MLP (Multilayer-Perceptron)
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  • 6

    gpufsknn

    A GPU-based efficient data parallel formulation of the kNN problem

    A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc.
    Downloads: 0 This Week
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  • 7
    MultiViL
    MultiViL is a tool for multi-view learning. It supports four classifiers (KNN, Naive-Bayes, Rochio and SVM-Perf), four view combining methods (Majority Voting, Borda Count, Dempster-Shafer theory of evidence and PSO) and provides many analisys tools.
    Downloads: 0 This Week
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  • 8
    The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.
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  • 9
    Linflix is an open-source C++ collection of tools and algorithms for processing the Netflix Prize dataset and calculating predictions for missing rating data.
    Downloads: 0 This Week
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  • Manage your IT department more effectively Icon
    Manage your IT department more effectively

    Streamline your business from end to end with ConnectWise PSA

    ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
  • 10
    A Program-Trading system for FOREX using the CMS-Forex API. This application is intended for ** DEVELOPERS ** who wish automatically trade currencies by treating TICK data as a real-time "natural" signal using advanced signal analysis techniques.
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  • 11
    Basic implementation of K-nearest neighbour Algorithm and the application of KNN to classify protein sequences as transmembrane beta barrel or non-transmembrane beta barrel on the basis of whole sequence amino acid composition given as input.
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  • 12
    ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
    Downloads: 0 This Week
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  • 13
    A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
    Downloads: 0 This Week
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