A Julia package for fitting (statistical) mixed-effects models

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

Molecular simulation in Julia

Computational geometry in Julia

A data structure for mathematical optimization problems

A Julia/JuMP Package for Power Network Optimization

Binary Dependency Builder for Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

"Distributions" that might not add to one.

Filter design, periodograms, window functions, and other digital signal processing functionality

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Julia package for text analysis

Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A Julia package for data clustering

Time series toolkit for Julia

Special mathematical functions in Julia

Geometric Deep Learning for Flux

Reverse Mode Automatic Differentiation for Julia

Visualization of Julia profiling data

Taylor polynomial expansions in one and several independent variables.

Root finding functions for Julia

Probabilistic Programming with Gaussian processes in Julia

Finite element toolbox for Julia

A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.

A Julia Basket of Hand-Picked Krylov Methods

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A fast trajectory optimization library written in Julia

Surrogate modeling and optimization for scientific machine learning (SciML)

Computer vision models for Flux

Julia solvers for systems of nonlinear equations and mixed complementarity problems

Evolutionary & genetic algorithms for Julia

Modeling and simulation of multidomain engineering systems

Efficient implementation of struct arrays in Julia

Call R from Julia

🏔️Manopt. jl – Optimization on Manifolds in Julia

Simple curve fitting in Julia

Convex optimization for fun and profit. (Now in Julia!)

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems