Basic statistics for Julia

Distributed High-Performance Symbolic Regression in Julia

A Julia package for disciplined convex programming

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Julia package for function approximation

Symbolic expressions, rewriting and simplification

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Library for the numerical simulation of closed as well as open quantum systems.

Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

Julia Implementation of Transformer models

Meta-package for data analysis in Julia, modeled after the R tidyverse.

A Control Systems Toolbox for Julia

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Julia implementation of QuantEcon routines

Compiles Julia code to a standalone library (experimental)

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Climate Machine: an Earth System Model that automatically learns from data

Black-box optimization for Julia

Statistical plotting recipes for Plots.jl

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Next-generation AD

Density-functional toolkit

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

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

"Distributions" that might not add to one.

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

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