A Julia package for simulation, inference and learning of Hidden Markov Models.
MIT License
Bayesian Statistics using Julia and Turing
Fast operator-overloading Jacobian & Hessian sparsity detection.
Gaussian Process package based on data augmentation, sparsity and natural gradients
Multi-language suite for high-performance solvers of differential equations and scientific machin...
A package for Hidden Markov Models with exogenous control variables.
Non-homogenous Hidden Markov Models
A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia
Julia implementation of elliptical slice sampling.
A unified interface for simulating and evaluating sequential sampling models in Julia.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Bayesian Generalized Linear models using `@formula` syntax.
Classical and quantum Monte Carlo simulations in Julia
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave...