Choo-choo

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

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.

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

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

Definition of dynamical systems and integrators for DynamicalSystems.jl

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Trajectory Optimization for Robot Arms

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.

Finds relationships between the parameters of a mathematical model

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

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

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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)

Quantum Algorithms for solving differential equations

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

Reachability analysis for closed-loop control systems in Julia

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

A Petri net modeling framework for the Julia programming language

Methods for computational information geometry

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

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

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

Detect and track blobs in video

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

Quantum Toolbox in Julia

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

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

Time stepping for Gridap

Create parameter estimation problems for ODE models

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

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

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

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.

Quantum dynamics simulation environment

Solvers for steady states in scientific machine learning (SciML)

DPFEHM: A Differentiable Subsurface Flow Simulator