ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Kite and tether models for the simulation of kite power systems

Basic functionality for EarthSciML system

Models of gas-phase atmospheric chemistry and related processes

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

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Quantum dynamics simulation environment

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Controllers for airborne wind energy systems

Phylogenetic Estimation of Shifts in the Tempo of Origination

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Atomic graph models for molecules and crystals in Julia

A standard library of components to model the world and beyond

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

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

Control barrier functions (CBFs) in Julia.

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

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Fast 3D frame structural analysis

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

An open source model predictive control package for Julia.

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.