fmorenopino / HeterogeneousHMM

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

Date Created 2019-04-09 (5 years ago)

Commits 208 (last one about a year ago)

Stargazers 77 (0 this week)

Watchers 3 (0 this week)

Forks 15

License apache-2.0

Ranking

RepositoryStats indexes 628,836 repositories, of these fmorenopino/HeterogeneousHMM is ranked #365,129 (42nd percentile) for total stargazers, and #416,225 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,965/128,166.

fmorenopino/HeterogeneousHMM is also tagged with popular topics, for these it's ranked: python (#15,343/23311), semi-supervised-learning (#100/177)

Other Information

fmorenopino/HeterogeneousHMM has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 6 closed issues.

There have been 3 releases, the latest one was published on 2021-12-21 (3 years ago) with the name Release of updated code with online documentation.

Homepage URL: https://pyhhmm.readthedocs.io/en/latest/

All Topics

hmm python markov-chain missing-data heterogeneous unsupervised-learning missing-data-imputation semi-supervised-learning

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14 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2025-02-14 @ 08:20am, id: 180347583 / R_kgDOCr_ivw