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fmorenopino
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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.
https://pyhhmm.readthedocs.io/en/latest/
Apache License 2.0
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Replicability
#10
BenSeimon
closed
3 months ago
2
Divergences in utils.py
#9
giancarloyona
opened
7 months ago
1
Modified utils.py's "plt.style.use" to handle different "seaborn-ticks" versions
#8
roliverc
closed
10 months ago
1
vectorized version
#7
nicolasviboo
closed
1 month ago
1
Why we need many sequences?
#6
al33m501
closed
1 year ago
3
Learning Rate for Multinomial HMM
#5
tahaceritli
opened
2 years ago
1
Add link to Arxiv article
#4
impredicative
closed
2 years ago
1
Problem when n_d_emissions > 0
#3
milliemince
closed
2 years ago
3
n_g_emissions and n_d_emissions parameters
#2
milliemince
closed
2 years ago
1
Create LICENSE
#1
fmorenopino
closed
4 years ago
0