Search Results for "gnu science" - Page 7
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Showing 284 open source projects for "gnu science"
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LAITOR is a text mining software developed to find co-occurrence of biological entities (gene/protein terms) together with biointeractions and concepts term from customized dictionaries.
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This is the extended euclidean algorithm implemented in haskell. It will put every single step of the algorithm in a file and show the actual result and everything in between.
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This is an Ada implementation of the Dancing Links X Algorithm as in Donald E. Knuth paper. AdaDLX is used to solve the Eight-Queens puzzle, Sudoku grids and Blocs in Box puzzle.
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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.
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Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.
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A library including the whole bunch of standard algorithms in graph optimization and drawing. On top of this, a GUI for manipulating and editing of graphs.
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CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
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Palex is a two-stage biological sequence searching system. Library will contain functions for searching patterns, palindromes and structures in DNA sequence.
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CthughaNix is the reincarnation of Cthugha-L, a Linux port of one of the first audio visualization software packages, known as "An Oscilloscope On Acid".
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This library implements several locality sensitive hashing(LSH) based algorithms, including indexing data structure for high dimensional spaces and metric spaces, sketch constructions and set embedding algorithms.
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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.
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A Java collections framework based on set theory, specifically, from Spivey's work on the Z notation (a formal specification language).
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The IEEE 1619 Committee open-source reference implementations of encryption algorithms, plus testing and certification suites, for each encryption algorithm included in the standard.
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ACMgen is an automatic code generator of Asynchronous Communications Mechanisms based on the generation of Petri nets models that can be formally verified against some properties and then transformed into a real implementation (e.g. C++ or Verilog).
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A library with implementation of algorithms for solving Lot Sizing problems. The main focus of the library is on ease of use, while also attempting to keep it as efficient as possible.
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The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
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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.
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ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
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Project that will provide implementations in Java's Micro Edition (J2ME) platform of algorithms on strings, for exact/inexact matching, similarity distances, among others.
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Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
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An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
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