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

A Julia/JuMP Package for Gas Network Optimization

A Julia interface to the FICO Xpress Optimization suite

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

A Julia interface to AMPL-enabled solvers

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

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

Building dynamical systems compositionally

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.

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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.

Rigorous function approximation using Taylor models in Julia

A package for discrete-time optimal stochastic control

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 General Approach to Seismic Inversion Problems using Automatic Differentiation

Darcy flow and reservoir simulator based on Jutul.jl

A Julia package for solving multi-objective optimization problems

Conic Augmented Lagrangian Interior-Point SOlver

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

Choo-choo

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

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Automated Bayesian model discovery for time series data

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

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

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

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.

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.

Nonlinear optical pulse propagator

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

A package containing a library of moist thermodynamic relations.