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

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

Base functionality library for QuantumOptics.jl

Multistart optimization methods in Julia.

Visualization for Flux.Chain neural networks

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

Rigorous function approximation using Taylor models in Julia

A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition

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An open source model predictive control package for Julia.

Read R data files from Julia

Flexible and efficient persistent homology computation.

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

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

Atomic graph models for molecules and crystals in Julia

Model and solve optimal control problems in Julia

A package for discrete-time optimal stochastic control

Darcy flow and reservoir simulator based on Jutul.jl

Julia package for solving singular integral equations

A Julia package for solving multi-objective optimization problems

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

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

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

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

Conic Augmented Lagrangian Interior-Point SOlver

Julia Kubernetes Client

Choo-choo

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

Dithering algorithms in Julia.

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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

Compositional data analysis in Julia

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.

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

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