Search Results for "markov" - Page 6
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Showing 165 open source projects for "markov"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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BackBox seamlessly integrates with network monitoring and NetOps platforms and automates configuration backups, restores, and change detection. BackBox also provides before and after config diffs for change management, and automated remediation of discovered network security issues.
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Pocket CRF is a modified version of CRF++, it maintains the simplicity of CRF++ and is able to use high order features. Pocket M3N is a simple Max Margin Markov Networks package for sequence labeling tasks.
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D-finder is a bioinformatic search algorithm for the identification of D-sites in JNK interacting proteins. The algorithm is a combination of pattern matching and a hidden markov model (HMM) based on a training set of known JNK D-sites.
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SediStat is simple command line aplication for automatization of statistical calculations used in facial analysis of deep water sediments. In actual version are incorporated methods of R/S analysis and Markov chains computations.
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POS Tagger , Part of speech tagger, Hidden Markov Model , written with C#. Natural language Processing .
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The only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
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SuperWillow is a Music Generation program. Artists have many influences which they have accumulated over the years by listening to countless pieces of music, this principle is reflected in SuperWillow.
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Please try libpinyin and ibus-libpinyin instead, as libpinyin continues novel-pinyin development and re-writes most of the code. A Simplified Chinese Sentence-Based Pinyin Input Method Engine Based On Markov Model.
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A library serving as general framework for graphical models, such as Bayesian Networks, Hidden Markov Models, Neural Networks, Fuzzy Logic.
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A series of programs dedicated to develop and extend knowledge within AI programming basics, such as writing and implementing Finite State Machines, using Markov Models and behavior state transitions.
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GridMDP targets students and researchers who work on Markov Decision Processes. It randomly generates a grid with obstacles and rewards, and solves it with popular algorithms like VI, LAO* or RTDP. Algorithms can be visually tracked in a GLUT window.
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Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
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A set of Markov Decision Process algorithms that are compatible with the 2008 International Probabilistic Planning Competition framework. Many well-known MDP algorithms as well as our RFF winner planner or our FSP* 2nd-ranked planner are available.
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An utility to generate random names using high order Markov chains and several language rules which can be generated from scratch, from a word list or by randomly generating a new language from several user-defined parameters
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QHQ++ is a C++ library includes: QHQc++ (C++ Numerical Library), QHQmcmc++ (Markov Chain Monte Carlo C++ Library, Bayesian Statistics), QHQsv++ (Stochastic Volatility C++ Library, Finance), QHQyc++ (Yield Curve Modeling C++ Library, Finance).
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MIM is a Windows program for graphical modelling -that is, the statistical analysis of multivariate data based on graphs. It uses models based on undirected graphs (a.k.a. Markov networks), directed graphs (a.k.a. Bayesian networks) and chain graphs.
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depmix is a package for the R statistical computing environment, to fit (multigroup) mixtures of latent Markov models on mixed categorical and continuous (timeseries) data
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Markov interpreter is an interpreter for "Markov algorithm". It parses a file containing markov production rules, applies it on a string and gives the output.
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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The Markovski project implements an interpreter/compiler for a language named Markovski, used to write Markov algorithms (see http://en.wikipedia.org/wiki/Markov_algorithm).
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
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Algorithms to estimate the number of k-colorings of a low-degree graph using samplings from a markov chain are provided.
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NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
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BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).
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hmm2gviz is a tool used for converting hidden Markov models generated by HMMER into a graph visualization using Graphviz.
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Hidden Markov Models (HMM) are a Pattern Recognition Metaheuristic. JHMMSim lets you to train and test a HMM with a friendly Java/Swing GUI. Also, JHMMSim lets you to generate a C++ code with a trained HMM, so you can use it in your own applications.