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.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Heterogeneoushmm | 60 | 8 months ago | 2 | July 16, 2021 | 2 | apache-2.0 | Python | |||
| 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. | ||||||||||
| Online Category Learning | 56 | 7 years ago | Python | |||||||
| ML algorithm for real-time classification | ||||||||||
| Gmm Mml | 17 | 1 | 4 years ago | 2 | April 21, 2020 | mit | Jupyter Notebook | |||
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Python
Probability
Unsupervised Learning
Semi Supervised Learning