Search Results for "gnu linux" - Page 9
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Showing 364 open source projects for "gnu linux"
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DOGMA is a MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms in a unique and simple framework. Examples are Perceptron, Passive-Aggresive, ALMA, NORMA, SILK, Projectron, RBP, Banditron, etc.
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This project is devoted to the creation of an open source Error-Correcting Output Codes (ECOC) library for the Machine Learning community. The ECOC framework is a powerful tool to deal with multi-class categorization problems.
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rtmc9s12-Target is a MATLAB/Simulink block-set for real-time control on Freescale MC9S12 microcontrollers.
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The KUKA Control Toolbox (KCT) is a collection of MATLAB functions developed at the University of Siena, for motion control of KUKA robot manipulators.
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This package can be used for further development of package needs to deal with 3D geometrical relationship. It provides class for Vector, Point, Coordinate, transformations and also provides functions for dealing with relationships between them.
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SVMT: A MATLAB toolbox for Stereo-vision motion tracking of motor reactivity elicited by sensory stimulation.
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The project contains a matlab package for generating poised lattices and coarse-fine interpolation matrices for high-order adaptive mesh refinement. It accompanies the paper by Qinghai Zhang submitted to Comput. Methods Appl. Mech. Engrg.
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T3S Tool
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes. -
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Python and Matlab classes for object oriented simulations of an integrated mechanical pulp and paper mill.
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gfit creates an interface between computational models and experimental data and provides tools for their analysis
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Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
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MVPaa
THIS PROJECT HAS MOVED!
MVPaa has merged into the automatic analysis project on gihub: https://github.com/rhodricusack/automaticanalysis -- MVPaa is a MVPA (Multi-Voxel Pattern Analysis) package made for the automatic analysis (http://www.cambridgeneuroimaging.com/aawiki) package. -
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Matlab, Maple and C/C++ applications of Linear Algebra in many domains, including curves in many dimensions, Cryptography and Chaos etc.
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Open Source Particle Image Velocimetry
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate. -
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This is a MATLAB toolbox for the quality control and scoring of EMAP and SGA genetic interaction data. It includes a graphical user interface and some automatic plot-generating tools.
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A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
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O SAINP (Sistema de Apoio ao Investidor Não Profissional) se propõe a realizar a análise fundamentalista dos ativos negociados na bolsa de valores brasileira. É um sistema próximo ao fornecido pela Economatica, mas gratuito e online.
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PAPAS (Path Planning Algorithms Suite) is a set of algorithms intended for path planning. It has common algorithms like PRM, RRT, Wavefront Planner, etc. The implementation is done in C language.
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CIVx is a free advanced PIV (Particle Imaging Velocimetry) code, developped in Fortran and C++. Input : pair of png images. Output : velocity field in NetCDF format. It is used by the UVMAT Matlab code develloped at LEGI.
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Nounou is a Java library for handling optical imaging data. The core consists of a modular stream of "filter blocks" that each modify or display the data. It is easily called from Mathematica and Matlab, for advanced figure output.
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Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.
