whatisgithub

What is hmm-notes?

edward/hmm-notes — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2008-07-23

★ 11RubyAudience · researcherComplexity · 3/5DormantSetup · easy

In one sentence

Educational Ruby notes and code implementing Hidden Markov Models, a probability-based way to recognize patterns in noisy sequences like speech or DNA.

Mindmap

mindmap
  root((repo))
    What it does
      Teaches Hidden Markov Models
      Implements Viterbi algorithm
      Baum-Welch in progress
    Tech stack
      Ruby
    Use cases
      Learn HMM theory with code
      Find most likely hidden sequence
      Study speech and DNA pattern recognition
    Audience
      Students
      Researchers
      Curious developers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Study readable Ruby code implementing the Viterbi algorithm for finding the most likely hidden sequence.

USE CASE 2

Learn how HMMs assign probabilities to pattern matches in noisy data like speech or DNA.

USE CASE 3

Compute how probable it is that an observed sequence matches a given HMM.

What is it built with?

Ruby

How does it compare?

edward/hmm-notes100rabhg/railswatchbmizerany/recho
Stars111111
LanguageRubyRubyRuby
Last pushed2008-07-23—2009-10-29
MaintenanceDormant—Dormant
Setup difficultyeasyeasyeasy
Complexity3/52/52/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

The Baum-Welch learning algorithm is still under development and not complete.

No license information was found in the explanation.

Copy-paste prompts

Prompt 1
Explain how the Viterbi algorithm in this repo finds the most likely hidden sequence from observed data.
Prompt 2
Walk me through the three fundamental HMM problems this repo covers, using its Ruby code as examples.
Prompt 3
Help me understand Hidden Markov Models well enough to apply them to a speech or DNA pattern recognition problem.
Prompt 4
Show me how the Baum-Welch algorithm for learning HMMs would extend this repo's existing code.

Frequently asked questions

What is hmm-notes?

Educational Ruby notes and code implementing Hidden Markov Models, a probability-based way to recognize patterns in noisy sequences like speech or DNA.

What language is hmm-notes written in?

Mainly Ruby. The stack also includes Ruby.

Is hmm-notes actively maintained?

Dormant — no commits in 2+ years (last push 2008-07-23).

What license does hmm-notes use?

No license information was found in the explanation.

How hard is hmm-notes to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is hmm-notes for?

Mainly researcher.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.

What are similar repos?