Search Results for "markov"
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Showing 17 open source projects for "markov"
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hashcat
World's fastest and most advanced password recovery utility
... paths remain intact. Multi-Device-Types (Utilizing mixed device types in same system). Supports password candidate brain functionality. Supports distributed cracking networks (using overlay). Supports interactive pause / resume. Supports sessions. Supports restore. Supports reading password candidates from file and stdin. Supports hex-salt and hex-charset. Supports automatic performance tuning. Supports automatic keyspace ordering markov-chains. -
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IMMpractical implements various Markov chain model-based methods for analysis of DNA sequences. Please cite: Sparks, M.E., Brendel, V. and Dorman, K.S. (2007) Markov model variants for appraisal of coding potential in plant DNA. LNBI. 4463:394-405.
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OMEN
OMEN: Ordered Markov ENumerator - Password Guesser
OMEN is a Markov model-based password guesser written in C. It generates password candidates according to their occurrence probabilities, i.e., it outputs most likely passwords first. OMEN significantly improves guessing speed over existing proposals. If you are interested in the details on how OMEN improves on existing Markov model-based password guessing approaches, please refer to OMEN: Faster Password Guessing Using an Ordered Markov Enumerator. OMEN consists of two separate program modules... -
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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TransGeneScan
TransGeneScan is a gene finding tool for metatranscriptomic sequences
NOTE: TransGeneScan is migrated to Github (https://github.com/COL-IU/TransGeneScan). TransGeneScan is no longer maintained in SourceForge. Please find the latest version in Github. TransGeneScan is a gene finding tool for Metatranscriptomic sequences. TransGeneScan incorporates strand-speci c hidden states, representing coding sequences in sense and anti-sense strands on transcripts in a Hidden Markov Model similar to the one used in FragGeneScan (http://fraggenescan.sourceforge.net... -
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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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Austrian German Voices for Festival
Austrian voices for the Festival speech synthesis system
Hidden Markov Model based voice models of Austrian German for the Festival speech synthesis system. -
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The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.
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ESMERALDA is a development environment for statistical recognizers operating on sequential data (speech, handwriting, biological sequences). It supports continuous density Hidden Markov models, Markov chain (N-gramm) models, and Gaussian mixture models.
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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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With miao3d you can train a specific Gaussian Markov Random Field (GMRF) that then can be used to estimate a depthmap ("3D"), given an image ("2D"). A GUI allows inspection of the image + depthmap.
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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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MegaHAL is a 'conversation simulator' that learns as you talk to it. MegaHAL differs from conversation simulators such as Eliza in that it uses a Markov Model to learn how to hold a conversation. It is possible to teach MegaHAL to talk about new topic
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This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
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CMATLIB is set of libraries for writing numerical applicatons. It includes support for neural-networks, hidden Markov models, kd-trees, and data smoothing. It may be used from C and Scheme programs.
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