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

Multistart optimization methods in Julia.

A package for Gaussian random field generation in Julia

Base functionality library for QuantumOptics.jl

Rigorous function approximation using Taylor models in Julia

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

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

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

Read R data files from Julia

-

Flexible and efficient persistent homology computation.

An open source model predictive control package for Julia.

Model and solve optimal control problems in Julia

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

Julia package for solving singular integral equations

Darcy flow and reservoir simulator based on Jutul.jl

A Julia package for solving multi-objective optimization problems

Atomic graph models for molecules and crystals in Julia

A package for discrete-time optimal stochastic control

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

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

Conic Augmented Lagrangian Interior-Point SOlver

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

Julia Kubernetes Client

Choo-choo

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

Automated Bayesian model discovery for time series data

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

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

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Dithering algorithms in Julia.

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

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

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

Use Optim to train Flux models and visualize loss landscapes

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.

Compositional data analysis in Julia

A package containing a library of moist thermodynamic relations.

Julia framework for spatial ecology - data types and utilities