Econometrics in Julia

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

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

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

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

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Multistart optimization methods in Julia.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Rigorous function approximation using Taylor models in Julia

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

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

An open source model predictive control package for Julia.

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

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

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Model and solve optimal control problems in Julia

Choo-choo

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

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Julia backend for Plotly Dash

Automated Bayesian model discovery for time series data

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

Use Optim to train Flux models and visualize loss landscapes

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

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 Power Flow Solver for GPUs in Julia

Nonlinear optical pulse propagator

Symbolic planners for problems and domains specified in PDDL.

Economic modeling in 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.

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

Library supporting the ArrayInterface.jl strided array interface.

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