Search Results for "markov" - Page 7

DNA, Amino Acid And RNA Tests: free software for probabilistic measurement and annotation of biological sequences, using phylogenetic Markov chains and stochastic grammars.

HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.

Developing a serie of tools to apply markov chain analysis to text considered as time series. The primary purposes are the development of efficient core tools and adaptors to allow a variety of text sources to be processed, and of a library of sample ap

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

Generates nicknames that sound like real words after analyzing a dictionary, using a so-called Markov chain

SimpleSpeech is a research about developing automatic speech recognition (ASR) system that using Hidden Markov Models (HMM) method as the core engine. This research is purposed for students or ASR beginners that being interested in ASR.

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

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.

Find sweeps using Hidden Markov models using a Matlab package

Machine learning C++ library. Linear algebra (PCA), splines hermite curve interpolation, neural networks (feedforward, recurrent, RBM, bayesian), Hidden markov model (HMM), Hamiltonian Monte Carlo sampling for neural networks etc. Uses BLAS (OpenBLAS, Intel MKL) to speed up linear algebra. Software is developed by Tomas Ukkonen.

Simple editor and analyzer of Petri nets. It allows you to build reachability tree with/without instant transitions and Markov chains. It is also possible to set transition distributions and set all the parameters of the current distribution. This project was made as a course project at NTUU "KPI" during attending classes "Computer modelling". Feel free to make any changes to the current version or ask me if you have any question.

A script to generate random text using Markov chains. Output text will be stylistically similar to the training text.

UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.

Two Markov-Chain-Monte-Carlo-algorithms ("Glauber Dynamics" and "Flip Dynamics") used for randomly sampling k-colorings of a graph.