A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.

Integrated Assessment Modeling Framework

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

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

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

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

Base functionality library for QuantumOptics.jl

A collection of tools for chemometrics and machine learning written in Julia.

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

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

Flexible and efficient persistent homology computation.

A package for discrete-time optimal stochastic control

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

Atomic graph models for molecules and crystals in Julia

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

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo

Automated Bayesian model discovery for time series data

Use Optim to train Flux models and visualize loss landscapes

Compositional data analysis in Julia

Nonlinear optical pulse propagator

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

Economic modeling in Julia

Expectation operators for Distributions.jl objects

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Financial derivatives modeling and pricing 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.

Discrete event generation and simulation in Julia

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Robust and optimal design and analysis of linear control systems

Differentiable trajectory optimization in Julia.

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Makie.jl recipes for visualization of Meshes.jl

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

A Julia package for solving nonlinear differential equations using the harmonic balance method.

Analysis of complex surveys

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.

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