Search Results for "javascript open source" - Page 4
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Showing 108 open source projects for "javascript open source"
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Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, Monte Carlo and Quasi-Monte Carlo Methods 2008, Springer Verlag, 2010
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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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A collection of different methods for implementing in C++ polycrystalline growth for metals during annealing or recrystallization.
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Liberate your MATLAB code with LiberMate. Translate your software to free (libre) Python and the SciPy package. Are you a graduating student loosing access to MATLAB or an institution needing to share/collaborate scientific software with others.
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Cut Your Data Warehouse Bill by 54%BigQuery delivers 54% lower TCO with serverless scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Software for clustering networks as described in "Information-theoretic approach to network modularity" (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).
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MATLAB Engine for Java is a library that uses the C API of the MATLAB Engine to: put variables from Java to Matlab, evaluate Matlab commands, get results from Matlab to Java.
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Open Source code for machine learning applied to anthropological/art objects. initially a collaboration between C. Wiggins+I. Tamaru (Columbia) and A. Gansell (Harvard) to identify true regions for lost/misplaced objects recovered in mesopotamia (Iraq).
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software for identifying modules in networks (e.g. "community detection"), as described in "a bayesian approach to network modularity" (physical review letters 100, 258701 (2008); http://link.aps.org/abstract/PRL/v100/e258701).
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This is a hybrid Matlab-Mathematica package for the numerical/pointwise and symbolic/explicit (as a piecewise polynomial) calculation of the B-Spline supported on a given 2D domain.
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Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
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A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and...
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Randomized Algorithms Control Toolbox is a Matlab toolbox, provides analysis and synthesis methods for control problems with uncertainties.
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This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
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Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
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A library of data objects that simulate mathematical neurons, including classic Hodgkin-Huxley neurons and theta neurons.
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A handle graphics package for Octave, the Free alternative to matlab. OctPlot provides quality postscript(TM) and screen graphics.
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neuro fuzzy net: 1. Object oriented Programming! 2. matlab project with back propagation, and hibrid learning. 3. Can use to MLP or ANFIS Sugeno modelling. 4. Integrated with Simulink (Sfunction M) by any questions mail me : tsepkovsky@yandex.ru
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Octave interface to the finite elements library Libmesh. Under the scientific interpreted language Octave, Octmesh allows using the Libmesh characteristics for the numerical simulation of partial differential equations on serial and parallel platforms.
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Matlab and Octave code to fit a mixture of Gaussians with covariance regularization to data using EM update rules.
