Showing 257 open source projects for "java algorithms"

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  • 1
    Graph-RAT
    Graph-RAT is a database abstraction layer designed to make it easy to use a large library of graph-analysis routines on a database as well as add new kinds of algorithms to data mining.
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  • 2
    EASEA
    EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
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  • 3
    JBernstein

    JBernstein

    JBernstein: Exploration techniques for non-linear constraint checking

    JBernstein is a tool implemented in Java that enables to check whether a polynomial constraint holds for all variables within their domain. It is mainly used in the verification or synthesis of cyber-physical systems where the system model is nonlinear. The tool also supports specifications in assume-guarantee style. The underlying algorithm is based on a translation to Bernstein polynomials, and several optimization techniques are implemented to ensure efficiency. Concerning performance,...
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  • 4
    PixLib
    This library aims to provide support for D-dimensional images in Java and to enable high-level implementation of algorithms in dimensionally-invariant manner. Major features: the dimensionality and the access to primitive data types are abstracted.
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  • 5

    JCycles

    [frozen] A library for computing cycles in graphs or in Java code.

    [This project is frozen, but has an offspring with more features: https://github.com/jeffhain/jadecy ] JCycles provides treatments to compute cycles, or just strongly connected components, in directed graphs in general, or in classes or packages dependencies graphs parsed from class files (major version <= 51, else does best effort). It uses Tarjan's algorithm for SCCs, and Johnson's for cycles, with continuations instead of recursion, which allows to handle large graphs (<...
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  • 6

    cmotif

    A method for mining conditional phosphorylation motifs

    Phosphorylation motifs represent position-specific amino acid patterns around the phosphorylation sites in the set of phosphopeptides. The discovery of phosphorylation motifs is a very valuable work in bioinformatics. Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. In this paper, we propose an algorithm called C-Motif...
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  • 7

    Cost-sensitive Classifiers

    Adaboost extensions for cost-sentive classification

    Adaboost extensions for cost-sentive classification CSExtension 1 CSExtension 2 CSExtension 3 CSExtension 4 CSExtension 5 AdaCost Boost CostBoost Uboost CostUBoost AdaBoostM1 Implementation of all the listed algorithms of the cluster "cost-sensitive classification". They are the meta algorithms which requires base algorithms e.g. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file and a...
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  • 8

    ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.
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  • 9
    TOPS_CeMM

    TOPS_CeMM

    User Friendly Data Analysis Tool for Interaction Data

    TOPS provides the benchtop scientist with a free toolset to analyze, filter and visualize data from functional genomic gene-gene and gene-drug interaction screens with a flexible interface to accommodate various different technologies and analysis algorithms in addition to those already provided here.
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  • 10

    algebrain

    Math Parser for Java

    Moved to GitHub https://github.com/fedups Algebraic equation processing at run time for Java programs. Supports variables, functions with parameters, rate table lookups, an embedded "if" function... Infinitely extensible, very small footprint.
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  • 11
    gannu

    gannu

    Java API and tools for performing NLP and other AI tasks

    Java API and tools for performing a wide range of AI tasks such as: word sense disambiguation (released), optimization (5 Evolutionary Algorithms Implemented ETA February 2014), opinion mining (ETA November 2014) and text wikification (ETA July 2014). Gannu includes some graphical interfaces for scientific purposes. When using Gannu please cite: *Jiménez, F.
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  • 12
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer...
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  • 13
    Operations Research EXperiment Framework for Java
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  • 14

    drl2g

    Convert drl files to g code

    This is a utility to process and convert drl files to efficient g code, which will help in drilling PCBs using a CNC. The snapshots are based on the linuxcnc axis program to visualize the results of the program using different algorithms.
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  • 15
    Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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    Downloads: 11,795 This Week
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  • 16
    Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude. This gain in performance is due to a combination of novel methods that lower the complexity...
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  • 17
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem...
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  • 18
    JECL, pronounced "Jekyll", is an open-source Java library implementing a variety of evolutionary algorithms. The goal is to provide a uniform interface for describing problems, running evolutionary algorithms, and accumulating results. The Java Evolutionary Computation Library is no longer under active development. We suggest the MOEA Framework (http://www.moeaframework.org/), jMetal (http://jmetal.sourceforge.net/), ECJ (http://cs.gmu.edu/~eclab/projects/ecj/) or JGAP (http://jgap.sourceforge.net/) as alternatives.
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  • 19
    JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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  • 20

    Galois sub-hierarchy builder

    Visualize Galois sub-hierarchy of 2d matrix

    GSH builder is a free Galois Sub-Hierarchy visualization tool. The algorithm for calculating GSH is called Pluton and the present Java realization is based on two articles. "Efficiently computing a linear extension of the sub-hierarchy of a Concept Lattice" by Anne Berry, Marianne Huchard, Ross M. McConnell, Alain Sigayret and Jeremy P. Spinrad. "Performances of Galois Sub-hierarchy-building algorithms" by Gabriela Arevalo, Anne Berry, Marianne Huchard, Guillaume Perrot and Alain Sigayret In you're in need of other GSH algorithms or their realizations in C++, you might want to investigate a project called Galicia on sourceforge. ...
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  • 21

    Set Theory Relations in Java

    Java classes implementing set theory relation concepts

    ...The current version (0.1) has been tested but not substantially used. Feedback from use in the field will be welcomed, as will offers of collaboration to improve the deduction algorithms.
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  • 22

    ssSearchEngine

    keyword search engine for semi-structured data (Tables, lists,...)

    This application implement an approach for doing keyword based search over semi-structured data available in HTML pages.
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  • 23

    Delayed Response Network

    Neural network based on signal delays.

    An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.
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  • 24
    Global Epidemic Simulator

    Global Epidemic Simulator

    A platform for modelling influenza-like epidemics and containment

    The Global Epidemic Simulator is a platform for modelling directly transmissible human diseases such as influenza, and testing intervention policies that may reduce the duration or severity of an outbreak of such a disease. Building on previous work, this model is spatial and individual-based, using various geographical and demographic data sources to place households at absolute locations, populated with individuals of specific ages who each attend schools or workplaces situated in their...
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  • 25
    visualFSA is a small tool which lets you construct NFAs/DFAs [(non)deterministic finite automata]. It offers some common algorithms which can be applied to that automatons, like converting NFA -> DFA, word problem, accepted language etc.
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