Search Packages

dynamax

A Python package for probabilistic state space modeling with JAX

h2mm-c

Photon By Photon Hidden Markov Modeling scripts based on Pirchi et. al. JPC 2016, 120, 13065, extended in Multi-parameter photon-by-photon hidden Markov modeling, Harris, P.D., Narducci, A., Gebhardt, C. et al. Multi-parameter photon-by-photon Hidden Markov Modeling. Nat Commun 13, 1000 (2022).

numpy-ml

Machine learning, in numpy

sequentia

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

smcjax

Sequential Monte Carlo and particle filtering in JAX

bhmm

BHMM: A toolkit for Bayesian hidden Markov model analysis of single-molecule trajectories.

latentflow

A Python package for estimating and simulating latent variable models

edhsmm

An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3