Automatic Finite Difference PDE solving with Julia SciML

Differentiable RayTracing in Julia

Finite Element tools in Julia

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Fermi quantum chemistry program

System Identification toolbox, compatible with ControlSystems.jl

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

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

Algorithms and data structures for game theory in Julia

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

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

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Algebraic Multigrid in Julia

Perceptually Uniform Colour Maps for Julia

Divide and Conquer Linear Algebra

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Climate science package for Julia

Roll a window over data; apply a function over the window.

Hydrological modeling

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

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

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Starter kit for legendary models

Package for dynamical modeling of power grids

MADS: Model Analysis & Decision Support

High-performance reactive message-passing based Bayesian inference engine

Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds

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

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

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

A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.

Beta Machine Learning Toolkit

Timeseries in Julia

Dive deeper into your data with interactive graphics

Projective geometry for computer vision in Julia