A Julia package for simulation, inference and learning of Hidden Markov Models.
-
Updated
Nov 5, 2026 - Julia
A Julia package for simulation, inference and learning of Hidden Markov Models.
Hidden Markov Models - Viterbi and Baum-Welch algorithm implementation in Python
Discrete Hidden Markov Model (HMM) Implementation in C++
Baum-Welch for all kind of Markov models
My solutions to the assignments and projects of Machine Learning for Bioinformatics Course
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
This python script predicts stock movement for next day.
Compact implementation of discrete Hidden Markov Models in C and Python.
using HMM to detect credit card fraudulent transaction
Hidden markov models built from scratch.
Gesture recognition using Hidden Markov Models
Exact HMM inference in C++20. Baum-Welch EM, Viterbi, posterior decoding, 15 emission distributions, SIMD-accelerated. Zero external dependencies.
HMM for annotating coding regions of DNA in S. cerevisiae chromosome III
CpG island prediction with Hidden Markov Models, Viterbi and Baum-Welch algorithm
stochastic modeling | HMM
A MATLAB toolbox for HMMs, CHMMs & LSIMs in multi-channel data processing, modeling & classification
Hidden Markov Model using the Baum-Welch algorithm in Rust, reference implementation in JavaScript
Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition
To associate your repository with the baum-welch topic, visit your repo's landing page and select "manage topics."