Easy, minimal interface to the Stan samplers in several languages
BSD-3-CLAUSE License
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
A benchmarking framework for the Julia language
A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia tr...
Probabilistic programming via source rewriting
Types and utility functions for summarizing Markov chain Monte Carlo simulations
Bayesian Cognitive Modeling with Turing.jl (Julia Programming Language)
Bayesian inference with probabilistic programming.
Write meta graphs quickly
[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
The Julia to Typst interface
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Bayesian Generalized Linear models using `@formula` syntax.
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a S...
Graphical tools for Bayesian inference and posterior predictive checks