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.

Visualization for Flux.Chain neural networks

A package for Gaussian random field generation 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)

An open source model predictive control package for Julia.

-

Flexible and efficient persistent homology computation.

Rigorous function approximation using Taylor models in Julia

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

Read R data files from Julia

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

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

Darcy flow and reservoir simulator based on Jutul.jl

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

A package for discrete-time optimal stochastic control

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Atomic graph models for molecules and crystals in Julia

Julia package for solving singular integral equations

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

Choo-choo

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

Conic Augmented Lagrangian Interior-Point SOlver

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

Julia Kubernetes Client

Dithering algorithms in Julia.

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

Automated Bayesian model discovery for time series data

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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

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.

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

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

A high functioning package detective.

Nonlinear optical pulse propagator

Julia framework for spatial ecology - data types and utilities

Expectation operators for Distributions.jl objects

Symbolic planners for problems and domains specified in PDDL.