Search Results for "model" - Page 3
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Showing 126 open source projects for "model"
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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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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phcfM
R package for modelling anthropogenic deforestation
phcfM is an R package for modelling anthropogenic deforestation. It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data... -
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Linear Program Solver
Solve linear programming problems
... the behaviour of the model when you change its parameters, including: analysis of changes in the right sides of constraints, analysis of changes in the coefficients of the objective function, analysis of changes in the column/row of the technology matrix. Such information may be extremely useful for the practical application of LP Models. ● LiPS provides methods of goal programming, including lexicographic and weighted GP methods, which are oriented on multi-objective optimisation. -
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Generic optimization of on demand calculation. Generation of C# code for data model and computation code Definition of the xF language IDE: edition of xF project. Excel 2010 Addin available
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
... and in-dependent mortality. Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users. -
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Lego Charts for Excel
Plot Excel data as photo-realistic 3D LEGO® models
Using a sequence of Open Source CAD/CAM and graphics tools, integrated through Excel macro code, "Lego Charts" extends the idea of the Excel 3-D bar chart. It allows the placement, shapes and colours of the bars to represent further dimensions to the data. The chart is presented as a photo-realistic model apparently constructed out of LEGO® [1] bricks. The downloaded package consists of an Excel template to create the charts, an extensive installation and user guide, and two fully-worked... -
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The project simulates a generic agent based market model. The aim is to explore intimately, by simulation, the process of price formation and the market microstructure.
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SimMyWorld
Ray tracing engine in C++ with front-end GUI in Java
SimMyWorld is originally a ray tracing program in C we developed for a school project. Then, we kept improving it and translated it into C++ to use an object-oriented model. A Java GUI has been developed to help users use the computation codes. -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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Bouc-Wen-Baber-Noori model of hysteresis
Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis
This toolbox computes the parameters of the Bouc–Wen–Baber–Noori hysteresis model using Multiobjective optimization evolutionary algorithms (MOBEAs). The toolbox uses the NSGA − II algorithm, which is an elitist non–dominated sorting EA. The toolbox uses the original NSGA-II algorithm developed by Prof. Kalyanmoy Deb, which can be download from: http://www.iitk.ac.in/kangal/codes.shtml Prof. Deb allowed me to use and post this toolbox. For further information about the toolbox read... -
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ntccKMC
ntccKMC: A Kripke-structure-based model checker for ntcc
ntccKMC: A Kripke-structure-based linear-time-logic model checker for the Non-deterministic Timed Concurrent Constraint Programming (ntcc) calculus. Inspired by Jaime Arias' Python implementation and algorithms and Avispa's ntcc interpreter Developed by Mauricio Toro under Colciencia's React+ of the Avispa research group. -
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segment
Solve the Viterbi algorithm in a data stream
It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data. -
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DyMMM
Dynamic Multispecies Metabolic Modeling framework
The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between... -
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PyParticles
PyParticles is an opensource particles simulation tool box entirely wr
PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog. -
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The ntcc bounded-time Model Checker
to prove if a CLTL formula satisfy a ntcc process
The ntcc bounded-time model checker allow you to check if constraint linear time (CLTL) formulae satisfy a Non-deterministic Times Concurrent Constraint (ntcc) processes. Try it! -
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The fast2armc program translates source code of a counter automata model for FAST(er) tool to the ARMC prolog syntax.
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... on certain hosts. G - Hyper-Model functions such as ray-plane intersections etc.
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Statistical models with python using numpy and scipy. Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.
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HMMLab
A Hidden Markov Model editor with support to HTK
HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files. -
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The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection).
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Lightweight modelling program in which you can create, try and adjust your control (not only) system. Kernel of this program is MBricks - cross-platform collection of bricks. Created in Math Bricks system can be implemented in one *.h file.
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A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
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Model Builder is a graphical tool for designing, simulating and analyzing Mathematical models consisting of a system of ordinary differential equations(ODEs).
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This project examines techniques to model three-dimensional rigid body motion using the geometric algebra of Dual Quaternions and how such models compare to more traditional models when used in underconstrained filtering applications.