Search Results for "hmm c++"
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Showing 14 open source projects for "hmm c++"
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YesEvents offers a comprehensive suite of services that spans the entire conference lifecycle and ensures every detail is executed with precision. Our commitment to exceptional customer service extends beyond conventional boundaries, consistently exceeding expectations and enriching both organizer and attendee experiences.
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hts_engine is software to synthesize speech waveform from HMMs trained by the HMM-based speech synthesis system (HTS). This software is released under the Modified BSD license.
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I think cutest is a very cool test framework for embedded C. Well, mostly because it is simple, just two files, OK, I admit I am lazy, that is why I use it. Hmm, still cutest is not perfect, so I just use it for personal purpose and I will also fix some issues which I think is valuable and put it here. Just for personal purpose.
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Sinsy
HMM-based singing voice synthesis system
Sinsy is an HMM-based singing voice synthesis system. This software is released under the Modified BSD license. -
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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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PMG is a low-code software platform that allows users to configure automation solutions and business applications to drive digital transformation initiatives. From streamlining business processes through automation, to integrating existing systems and filling in point solution functionality gaps, to delivering a collaborative workspace and unified user experience – PMG’s low-code platform does it all without coding. Business users as well as IT resources are empowered to configure, deploy, and maintain solutions that meet their company’s specific needs.
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MetaDomain
Protein domain classification for short sequences
MetaDomain is a protein domain classification tool designed for very short next-generation sequencing reads. It achieves better sensitivity and low false positive rate compared with the state-of-the-art profile hidden Markov model (profile HMM) alignment tool in identifying encoded domains from short sequences. -
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HPeak
A HMM-based algorithm for defining enriched regions from ChIP-seq data
HPeak is a hidden Markov model-based approach that can accurately pinpoint regions to where significantly more sequence reads map. Testing on real data shows that these regions are indeed highly enriched by the right protein binding sites. Command (single-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -t TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -fmin 100 -fmax 300 -r 36 -ann -wig -seq -interfiles Command (pair-end): perl /compbio/software/HPeak3/HPeak.pl -sp... -
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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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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
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LibNebular is C++ Linux library for uniform image file manipulation as String key-value pairs (with sometimes BLOB values) where different file types are intruduced through DL (".so") libraries. Includes BMP and JPEG plugins. Can easily be ported.
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BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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A Program-Trading system for FOREX using the CMS-Forex API. This application is intended for ** DEVELOPERS ** who wish automatically trade currencies by treating TICK data as a real-time "natural" signal using advanced signal analysis techniques.
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MeCab is a fast and customizable Japanese morphological analyzer. MeCab is designed for generic purpose and applied to variety of NLP tasks, such as Kana-Kanji conversion. MeCab provides parameter estimation functionalities based on CRFs and HMM
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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.
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dinrhiw2 (copy of main repo from github)
Dinrhiw2 - machine learning library and tools (neural networks) in C++
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. -
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This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net
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