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

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

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

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

A fast and flexible Structural Equation Modelling Framework

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Quantum Algorithms for solving differential equations

Reachability analysis for closed-loop control systems in Julia

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

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

A Julia package for constrained iterative LQR (iLQR)

Experimental framework for automatic differentiation finite-volume simulators

Methods for computational information geometry

A Petri net modeling framework for the Julia programming language

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

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Common functions in actuarial and financial routines

Unified contact simulaton and collision detection

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Comparing performance and results of mcmc options using Julia

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.

Detect and track blobs in video

The ideal tool for exploring global marine biogeochemical cycles.

Clima's Land Model

Clima's Land Model

Total Variation Regularized Numerical Differentiation

An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems

Quantum Toolbox in Julia

FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.

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An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Julia Bindings for Atomic Simulation Environment

High-level model-order reduction to automate the acceleration of large-scale simulations

Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization

Time stepping for Gridap

Create parameter estimation problems for ODE models

Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.

Solver for two-dimensional conservation equations using the finite volume method in Julia.

Find attractors (and their basins) of dynamical systems. Perform global continuation. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters