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 75 (0 this week)

Watchers 3 (0 this week)

Forks 15

License apache-2.0

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RepositoryStats indexes 584,777 repositories, of these fmorenopino/HeterogeneousHMM is ranked #352,900 (40th percentile) for total stargazers, and #422,609 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,205/116,437.

fmorenopino/HeterogeneousHMM is also tagged with popular topics, for these it's ranked: python (#14,927/22023), semi-supervised-learning (#99/171)

Other Information

fmorenopino/HeterogeneousHMM has Github issues enabled, there are 2 open issues and 6 closed issues.

There have been 3 releases, the latest one was published on 2021-12-21 (2 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: 2024-11-07 @ 04:08pm, id: 180347583 / R_kgDOCr_ivw