Showing 16 open source projects for "parallel-sudoku-solver"

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  • 1
    FreeMat
    Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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    Downloads: 360 This Week
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  • 2

    jAgg

    jAgg - Java Aggregation Operations

    jAgg is a Java 5.0 API that supports “group by” operations on Lists of Java objects: aggregate operations such as count, sum, max, min, avg, and many more. It supports Super Aggregation: Rollups, Cube, and Grouping Sets. It supports analytic operations such as lag/lead and row number and more. It also allows custom aggregate and analytic operations.
    Downloads: 0 This Week
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  • 3
    TRAK for Visio

    TRAK for Visio

    Simple Visio stencil to help create TRAK architecture views

    A Visio stencil that provides the elements and connectors in the TRAK metamodel and allows you to create TRAK architecture views. With thanks to Nic Plum for the latest revision. TRAK is an ISO/IEC 42010:2011-compliant open-source architecture framework for enterprise architecture modelling / architecture description in all domains. TRAK is specified in three parts and is available at: http://trak.sourceforge.net [overview] http://trakmetamodels.sourceforge.net...
    Downloads: 0 This Week
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  • 4
    CRFSharp

    CRFSharp

    CRFSharp is a .NET(C#) implementation of Conditional Random Field

    CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel...
    Downloads: 0 This Week
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  • 5
    A Machine Learning and Data Retrieval Framework
    Downloads: 0 This Week
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  • 6
    Cloudster is a generic and parallel implementation of the k-means algorithm. It is written in C# and uses the Windows Azure environment.
    Downloads: 0 This Week
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  • 7
    Simple console program intended for factor or principal components analysis. It calculates the optimal number of factors using the Horn's parallel analysis, computes the Kaiser-Meyer-Olkin and a few other measures of sampling adequacy.
    Downloads: 1 This Week
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  • 8
    Parallel IBDWS is an upgrade from IBDWS that utilizes parallel processing. Also, the incorporation of DNA sequence data has been added since the last code release
    Downloads: 0 This Week
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  • 9
    Constraint Satisfaction Problems Solver for Binary constraints, input files in XML with the current format XCSP 2.1, adopted for the 2008 CSP/MaxCSP/WCSP solver competition. The solver is in C++ and use the boost library
    Downloads: 0 This Week
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    Cloud data warehouse to power your data-driven innovation

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  • 10
    Boolean Expression Solver is a command-line utility that generates a truth table for a given Boolean expression.
    Downloads: 0 This Week
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  • 11
    FlexCRFs: A Flexible Conditional Random Fields Toolkit for Labeling and Segmenting Sequence Data (this includes a parallel implementation of CRFs called PCRFs to support training CRF models on massively parallel computer systems).
    Downloads: 0 This Week
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  • 12
    Mcube is designed to solve 4x4x4 Rubiks Cubes (AKA, Rubiks Revenge, AKA, Master Cube). It is multiplatform, and has both console and graphical support.
    Downloads: 2 This Week
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  • 13
    WebDip is a platform for the tracking of information search in a psychological decision making experiment. It enables to run parallel experiments, with different search modes and comfortabel user management.
    Downloads: 0 This Week
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  • 14
    VKAS - a genetic function finder

    VKAS - a genetic function finder

    An AI program that deploys genetic programming

    VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods. When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. If a suitable...
    Downloads: 0 This Week
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  • 15
    Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
    Downloads: 0 This Week
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  • 16
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...
    Downloads: 0 This Week
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