An open-source framework written in Julia for global integrated assessment models.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

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Rigorous function approximation using Taylor models in Julia

An open source model predictive control package for Julia.

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Atomic graph models for molecules and crystals in Julia

Model and solve optimal control problems in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo

Import, process and interpret geophysical data sets to be used in numerical models.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

Nonlinear optical pulse propagator

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

Support package for doing Calculus with Julia

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Differentiable trajectory optimization in Julia.

Robust and optimal design and analysis of linear control systems

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Definition of dynamical systems and integrators for DynamicalSystems.jl

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

A Julia package for solving nonlinear differential equations using the harmonic balance method.

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Trajectory Optimization for Robot Arms

Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.

A few preconditioners for iterative solvers.

Julia package towards classical molecular modeling of nanoporous materials

Finds relationships between the parameters of a mathematical model

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

A fast and flexible Structural Equation Modelling Framework

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

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