Showing 79 open source projects for "multi-threaded"

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  • 1
    Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
    Downloads: 0 This Week
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  • 2
    The C++ library Geneva allows to run large scale parametric optimization problems. It can run in serial or multi-threaded mode or in a networked environment. The library currently covers Evolutionary Strategies, Genetic Algorithms and mixed scenarios.
    Downloads: 0 This Week
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  • 3
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
    Downloads: 0 This Week
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  • 4
    barde
    A log player for "The Fourth Coming" ("T4C", http://www.the4thcoming.com). Given a log-file, this tool will replay a T4C game you've played before. It will have built-in functionnalities like : merging log files together, searching and cleaning
    Downloads: 0 This Week
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  • 5
    Alef++, is a new programming language like Perl and Lisp syntax, with a many changing in classical languages designs, her specification designed to be implemented for any VM, by default can access to any private/protected/default Java fields or methods.
    Downloads: 2 This Week
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  • 6
    The Asterisk Config PHP-Parser claims to be a simple but effective function writen in PHP non-OOP that is capable to parse any standard .conf Asterisk configuration file an drop the data into a multi-dimensional array.
    Downloads: 0 This Week
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  • 7
    We introduce our implementation that accelerates the distance matrix computation in the x86 and Cell Broadband Engine (BE) architecture, a homogeneous and heterogeneous multi-core system, respectively.
    Downloads: 0 This Week
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  • 8
    The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
    Downloads: 0 This Week
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  • 9
    A threaded Web graph (Power law random graph) generator written in Python. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It implements a threaded variant of the RMAT algorithm.
    Downloads: 0 This Week
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  • 10
    Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
    Downloads: 0 This Week
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  • 11
    Easy To Use Collection Classes For C And C++ The Memory Structures Library (MemSL) has implementations of structures (i.e. AVL trees, threaded trees, dynamic hashing, ...) that are extremely hard to find and far harder to implement.
    Downloads: 0 This Week
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  • 12
    A Multi-objective evolutionary algorithm library
    Downloads: 0 This Week
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  • 13
    MDQuery is a multi-dimensional aggregation class library written in VB.net originally, ported to C#.net with a lightweight query language for rapid prototyping.
    Downloads: 0 This Week
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  • 14
    QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
    Downloads: 0 This Week
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  • 15
    Threading Building Blocks offers a rich and complete approach to expressing parallelism in a C++ program. It is a library that helps you leverage multi-core processors for performance and scalability without having to be a threading expert.
    Downloads: 0 This Week
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  • 16
    Multi-platform regular expression (regex) creation. Highlights regex matches, and regex groups for quick regular expression creation. Save/load regular expression sessions. Create robust regex patterns on any major platform. Supports PCRE and wxRegEx.
    Downloads: 0 This Week
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  • 17
    A portable C++ library of multi-threaded STL algorithms (transform, accumulate...) using standard containers and iostreams. Thread, mutex, spinlock are templatized. Close to Intel Threading Building Blocks, HPC++ or PSTL. Idea of A.Stepanov and M.Austen.
    Downloads: 0 This Week
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  • 18
    JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
    Downloads: 0 This Week
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  • 19
    SweenJet helps developers to create Java applications. It provides constrained models, useful Swing components (e.g. splash screen, input fields), actions, look-and-feel enhancements (e.g. themes, multi-line tooltip), and a complete preferences system. This project is no longer actively developed.
    Downloads: 0 This Week
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  • 20
    Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
    Downloads: 0 This Week
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  • 21
    Toolbox for Java developers. Includes right now only a multi-layered extensible cache system but will grow depending on requirements.
    Downloads: 0 This Week
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  • 22
    Robust Perl OO Module for Digest based Authentication leveraging DBI as a backend. This Performance oriented Hash Authentication Library is scalable from single pc to multi-database single signon www applications. Optionally uses Javascript and Cookies.
    Downloads: 0 This Week
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  • 23
    Multicore SWARM
    Multicore SWARM (Software and Algorithms for Running on Multicore Processors) is an open source library for developing efficient and portable implementations that make use of multi-core processors. David A. Bader (Georgia Tech) began SWARM in 1994.
    Downloads: 0 This Week
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  • 24
    A Java framework to create multi-threaded dispatching applications. It is a framework that realizes an application pattern that often appears while creating business applications.
    Downloads: 0 This Week
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  • 25
    MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
    Downloads: 2 This Week
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