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ronw/matlab_hmm

MATLAB functions for training and evaluating HMMs and GMMs.

Matlab ◇ developer-tools GPL-3.0
★22STARS
⑂19FORKS
!0ISSUES
🏆#16,133GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#4

MOST-STARRED Matlab

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

matlab_hmm gained 10 stars in the last 30 days, about 1 a day, and now has 22. It is about 17 years old and has averaged roughly 1 stars a year. It ranks #4 among Matlab repositories and #16,133 across all languages on GitHubRepo.

Trending Record

matlab_hmm has maintained a continuous presence across global trending indexes, peaking at #14763. Below is the 30-day activity profile:

💡 Overview

matlab_hmm is an open-source project written in Matlab: MATLAB functions for training and evaluating HMMs and GMMs.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Matlab. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Matlab for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/ronw/matlab_hmm.git
cd matlab_hmm

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Matlab environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

matlab_hmm coordinates its core functionality through a modular Matlab pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed matlab_hmm into Matlab backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open GPL-3.0 license.

🚀 Getting Started

1

Install matlab_hmm using your package manager: `git clone https://github.com/ronw/matlab_hmm.git`

2

Initialize your project workspace or configuration file for matlab_hmm.

3

Import matlab_hmm into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `matlab_hmm --help` to verify successful setup.

👍 Strengths

Active community backing with 22 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Matlab for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Matlab and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

S
mpf/spot ★ 66 Matlab

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M
ronw/matlab_htk ★ 46 Matlab

MATLAB functions that interface with the HTK Speech Recognition Toolkit (http://htk.eng.cam.ac.uk/) for training HMMs, GMMs and simple speech recognizers.

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L
dmaniloff/libpomdp ★ 29 Matlab

libpomdp is a set of POMDP approximation algorithms implemented in Java and Matlab

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S
jovo/smc-oopsi ★ 16 Matlab

code to implement our sequential monte carlo (smc) algorithm to perform optimal optical spike inference (oopsi) for individual neurons

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👥 Who Should Use This

Developers and engineering teams building with Matlab, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ronw/matlab_hmm is currently ranked #16,133 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,036 rlivsey/timed_fragment_cache Ruby ★ 23 Compare ↗
#16,036 tyler/collaborative_filter Ruby ★ 23 Compare ↗
#16,036 pat/active-matchers Ruby ★ 23 Compare ↗
#16,036 eastmedia/kaltura Ruby ★ 23 Compare ↗
#16,036 collectiveidea/with_action Ruby ★ 23 Compare ↗
#16,133 ronw/matlab_hmm This Project Matlab ★ 22
#16,133 ruphy/oxy-cursors — ★ 22 Compare ↗
#16,133 DrMark/ultrasphinx Ruby ★ 22 Compare ↗
#16,133 dustin/memcached-test Python ★ 22 Compare ↗
#16,133 larrytheliquid/cry Ruby ★ 22 Compare ↗
#16,133 nbibler/devpay Ruby ★ 22 Compare ↗

Frequently Asked Questions

What does matlab_hmm do? +

MATLAB functions for training and evaluating HMMs and GMMs.

What language is matlab_hmm written in? +

The primary language is Matlab. Topics include: software.

Is matlab_hmm actively maintained? +

Yes, the last recorded push was on Jan 6, 2010 with 0 open issues being tracked.

How many stars does matlab_hmm have? +

matlab_hmm has 22 stars and 19 forks on GitHub.

How does matlab_hmm rank among GitHub repositories? +

With 22 stars, ronw/matlab_hmm is ranked #16,133 globally across all repositories tracked on GitHubRepo and #4 among Matlab projects.

What license is matlab_hmm distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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