A operator overloading, tape-based, reverse-mode AD

Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.

Transformations to contrained variables from ℝⁿ.

A Julia/JuMP Package for Gas Network Optimization

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

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

A Julia interface to the FICO Xpress Optimization suite

A Julia interface to AMPL-enabled solvers

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

Building dynamical systems compositionally

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

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

Visualization for Flux.Chain neural networks

Multistart optimization methods in Julia.

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

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

Rigorous function approximation using Taylor models in Julia

An open source model predictive control package for Julia.

A package for discrete-time optimal stochastic control

Model and solve optimal control problems in Julia

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

Darcy flow and reservoir simulator based on Jutul.jl

A Julia package for solving multi-objective optimization problems

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Atomic graph models for molecules and crystals in Julia

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo

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

Automated Bayesian model discovery for time series data

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

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.

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

Use Optim to train Flux models and visualize loss landscapes

A Power Flow Solver for GPUs in Julia

A package containing a library of moist thermodynamic relations.