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 11 months ago)

Stargazers 75 (0 this week)

Watchers 3 (0 this week)

Forks 14

License apache-2.0

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RepositoryStats indexes 565,279 repositories, of these fmorenopino/HeterogeneousHMM is ranked #343,912 (39th percentile) for total stargazers, and #413,827 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #63,892/111,292.

fmorenopino/HeterogeneousHMM is also tagged with popular topics, for these it's ranked: python (#14,590/21414), semi-supervised-learning (#98/168)

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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The only known language in this repository is Python

updated: 2024-09-19 @ 09:09pm, id: 180347583 / R_kgDOCr_ivw