Machine learning, in numpy

State Space Models library in JAX

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Hidden Markov Models for Julia.

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

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).

💻 A repository with comprehensive instructions for using the Festvox toolkit for generating Emotional speech 🔈 from text

Bayesian hidden Markov models toolkit

Full Bayesian Inference for Hidden Markov Models

Python toolkit for Visual Speech Recognition

Hidden Markov Models - Viterbi and Baum-Welch algorithm implementation in Python

Enables computing the gradient of the parameters of Hidden Markov Models (HMMs)

An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Markov Chains and Hidden Markov Models to generate and correct sentences

Fast Bayesian Hidden Markov Model with Wavelet Compression

Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.

SigMa is a probabilistic model for the sequential dependencies of mutation signatures