Alternatives and similar repositories for HMMs

Users that are interested in HMMs are comparing it to the libraries listed below

• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• jvkersch / hsmmlearn
  A library for hidden semi-Markov models with explicit durations
  ☆86Updated 3 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 7 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆131Updated 6 years ago
• abietti / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 10 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆103Updated last year
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• dtolpin / bocd
  Bayesian Online Changepoint Detection
  ☆62Updated 7 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆167Updated 11 months ago
• maximtrp / mchmm
  Markov Chains and Hidden Markov Models in Python
  ☆127Updated 6 months ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆221Updated last year
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆153Updated 6 years ago
• sorend / fylearn
  Fuzzy machine learning algorithms implementing the scikit-learn interface.
  ☆75Updated 11 months ago
• padilha / biclustlib
  A Python library of biclustering algorithms, evaluation measures and datasets.
  ☆52Updated 5 years ago
• y-bar / bocd
  Bayesian Changepoint Detection
  ☆46Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆174Updated 2 years ago
• paulbrodersen / entropy_based_binning
  Entropy based binning of discrete variables.
  ☆34Updated 5 years ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆150Updated last year
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 2 months ago
• lnthach / Mr-SEQL
  Time Series Classification with Multiple Symbolic Representations.
  ☆37Updated 5 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆133Updated last year
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆87Updated 8 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆96Updated 3 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆178Updated 6 years ago