Simulation and visualization of articulated rigid body systems in Julia

A simple tool for simulating trapped ion systems

Bayesian Generalized Linear models using `@formula` syntax.

Generalized mean-field equations in open quantum systems

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Global glacier model using Universal Differential Equations for climate-glacier interactions

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

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An open source model predictive control package for Julia.

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

Julia package for solving singular integral equations

Darcy flow and reservoir simulator based on Jutul.jl

Atomic graph models for molecules and crystals in Julia

Choo-choo

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.

A Julia package for representing block-banded matrices and banded-block-banded matrices

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.

Robust and optimal design and analysis of linear control systems

Boundary Element Analysis and Simulation Toolkit

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

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Definition of dynamical systems and integrators for DynamicalSystems.jl

Trajectory Optimization for Robot Arms

A collection of B-spline tools in Julia

A few preconditioners for iterative solvers.

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

Finds relationships between the parameters of a mathematical model

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 framework for composing and simulating multiphysics systems

Geometric Numerical Integration in Julia

Measure the distance between two spectra/signals using optimal transport and related metrics

A CPU- and GPU-friendly package for solving ordinary differential equations

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

Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

Structure Preserving Machine Learning Models in Julia

Gmsh generated meshes for Gridap

Embedded finite element methods in Julia

Boundary value problem (BVP) solvers for scientific machine learning (SciML)