# luisguiserrano/hmm

<https://repo.masters-masters.com/en/repos/luisguiserrano/hmm>

[Home](https://repo.masters-masters.com/en) › [luisguiserrano](https://repo.masters-masters.com/en/owners/luisguiserrano) › [hmm](https://repo.masters-masters.com/en/repos/luisguiserrano/hmm)

luisguiserrano/hmm has 155 stars on GitHub. Its RepoMasters card: Prototype tier. An implementation of the Viterbi Algorithm for training Hidden Markov…

| Field | Value |
| --- | --- |
| Owner | [luisguiserrano](https://repo.masters-masters.com/en/owners/luisguiserrano) |
| Stars | 155 |
| Forks | 68 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [luisguiserrano/hmm](https://github.com/luisguiserrano/hmm) |

## Repository

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.