Transformations to contrained variables from ℝⁿ.

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

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

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

A Julia interface to AMPL-enabled solvers

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

A Julia interface to the FICO Xpress Optimization suite

Building dynamical systems compositionally

A Julia/JuMP Package for Gas Network Optimization

Multistart optimization methods in Julia.

Visualization for Flux.Chain neural networks

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

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Rigorous function approximation using Taylor models in Julia

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

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

An open source model predictive control package for Julia.

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

Model and solve optimal control problems in Julia

Atomic graph models for molecules and crystals in Julia

A Julia package for solving multi-objective optimization problems

A General Approach to Seismic Inversion Problems using Automatic Differentiation

A package for discrete-time optimal stochastic control

Darcy flow and reservoir simulator based on Jutul.jl

Conic Augmented Lagrangian Interior-Point SOlver

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

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

Choo-choo

A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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

Automated Bayesian model discovery for time series data

High-level, high-performance, constraint-based reconstruction and analysis in Julia

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

Use Optim to train Flux models and visualize loss landscapes

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.

A Power Flow Solver for GPUs in Julia

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A package containing a library of moist thermodynamic relations.

A package containing a library of moist thermodynamic relations.