# Mogeng/IOHMM

<https://repo.masters-masters.com/en/repos/Mogeng/IOHMM>

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

Mogeng/IOHMM has 179 stars on GitHub. Its RepoMasters card: Prototype tier. Input Output Hidden Markov Model (IOHMM) in Python Language: Python.

| Field | Value |
| --- | --- |
| Owner | [Mogeng](https://repo.masters-masters.com/en/owners/Mogeng) |
| Stars | 179 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2016 |
| Topics | python, hidden-markov-model, graphical-models, sequence-to-sequence, machine-learning, linear-models, sequence-labeling, supervised-learning, semi-supervised-learning, unsupervised-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Mogeng/IOHMM](https://github.com/Mogeng/IOHMM) |

## Repository

Input Output Hidden Markov Model (IOHMM) in Python

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

## Nearby in Python

- [linkssy2/DarkwatchDarkerEdition · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/linkssy2/DarkwatchDarkerEdition)
- [xxPcy/PharmaLLM-Agent · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/xxPcy/PharmaLLM-Agent)
- [Interactive-Active-AI/NextTransformer · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/Interactive-Active-AI/NextTransformer)
- [matagus/django-planet · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/matagus/django-planet)
- [dpp/simply\_lift · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/dpp/simply_lift)
- [MarketSquare/Robotframework-Database-Library · ★ 179 · Python · Prototype](https://repo.masters-masters.com/en/repos/MarketSquare/Robotframework-Database-Library)

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