Alternatives and similar repositories for hsmmlearn

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

• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆171Updated last year
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆102Updated last year
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• mattjj / pyhsmm
  ☆567Updated 8 months ago
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆198Updated 4 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆100Updated 2 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆90Updated 7 years ago
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• mattjj / pyslds
  ☆98Updated 7 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆229Updated 2 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆81Updated last year
• nikdon / pyEntropy
  Entropy for Python
  ☆357Updated last week
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• mblondel / soft-dtw
  Python implementation of soft-DTW.
  ☆579Updated last year
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated 2 years ago
• jiapingz / shapeDTW
  A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time se…
  ☆97Updated 9 years ago
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 5 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆60Updated 4 years ago
• epfl-lasa / changepoint-detection
  Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
  ☆48Updated 8 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆238Updated last month
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• ML-KULeuven / cobras
  Interactive clustering with super-instances
  ☆51Updated 5 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆256Updated 4 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆133Updated 6 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated 2 years ago
• CSchoel / nolds
  Nonlinear measures for dynamical systems (based on one-dimensional time series)
  ☆291Updated last month
• sharford5 / SFA_Python
  ☆35Updated 4 years ago