A package for Hidden Markov Models with exogenous control variables.
MIT License
See the documentation for more details.
Specifying, fitting, and evaluating statistical models in Julia
Create NLPModels with JuMP
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Julia code for SPECT image reconstruction
Bayesian Generalized Linear models using `@formula` syntax.
An implementation of the Bloch-McConnell equations for simulating MR spin dynamics.
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Generalized linear models in Julia
Utilities for loading posteriordb with Julia
Plots of Gaussian processes with AbstractGPs and Makie
A Julia package for data clustering
Types and utility functions for summarizing Markov chain Monte Carlo simulations
Non-homogenous Hidden Markov Models
Benchmarks for decision-focused learning
Explainable AI in Julia.