Implementations of the models from the Statistical Rethinking book with Turing.jl

An interface to various automatic differentiation backends in Julia.

Causal, Higher-Order, Probabilistic Programming

Automatic Finite Difference PDE solving with Julia SciML

A Julia package for strided array views and efficient manipulations thereof

Package for Simulation, Tomography and Analysis of Quantum Computers

It slices, it dices, it splices!

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Fermi quantum chemistry program

Efficient and type-stable physical quantities in Julia

System Identification toolbox, compatible with ControlSystems.jl

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Automatic differentiation of implicit functions

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Solve non-linear HJB equations.

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Interactive error messages for the Julia REPL.

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Combinatorial optimization layers for machine learning pipelines

Equation-based modeling and simulations in Julia

A standard library of components to model the world and beyond

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Package for dynamical modeling of power grids

Ridiculously fast symbolic expressions

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

A framework for simulating viscous incompressible flows about arbitrary body shapes.

Macros and functions to work with DSGE models.

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

A helper tool for visualizing and editing a ModelingToolkit.jl system connections

Semidefinite programming optimization solver

A Julia package for numerical computation in quantum information theory

Pure Julia Implementation of Geometrically Exact Beam Theory

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.