Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Probabilistic programming via source rewriting

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

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

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

💨 A breath of fresh air for programming web apps in Julia

Query almost anything in julia

Computational geometry in Julia

Molecular simulation in Julia

A data structure for mathematical optimization problems

A Julia/JuMP Package for Power Network Optimization

Binary Dependency Builder for Julia

"Distributions" that might not add to one.

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

Save and load data in the HDF5 file format from Julia

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.

An implementation of the Microsoft Language Server Protocol for the Julia language.

Makes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.

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

Root finding functions for Julia

Finite element toolbox for Julia

Probabilistic Programming with Gaussian processes in Julia

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

Auto QUality Assurance for Julia packages

Surrogate modeling and optimization for scientific machine learning (SciML)

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

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.

Computer vision models for Flux

Julia solvers for systems of nonlinear equations and mixed complementarity problems