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

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Integrated Assessment Modeling Framework

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

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

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

Base functionality library for QuantumOptics.jl

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.

Atomic graph models for molecules and crystals 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.

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

Compositional data analysis in Julia

Use Optim to train Flux models and visualize loss landscapes

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.

Differentiable trajectory optimization in Julia.

Robust and optimal design and analysis of linear control systems

Makie.jl recipes for visualization of Meshes.jl

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

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

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

Analysis of complex surveys

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

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