A Julia interface to the NLopt nonlinear-optimization library

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

[DEPRECATED] Bioinformatics and Computational Biology Infrastructure for Julia

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

:rocket: Julia package for orthogonal polynomial transforms :snowboarder:

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

An intuitive modeling interface for infinite-dimensional optimization problems.

The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

A toolbox for satellite analysis written in julia language.

Declarative vector graphics

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Specifying, fitting, and evaluating statistical models in Julia

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

The cheapest threads you can find!

The cheapest threads you can find!

Fast jacobian computation through sparsity exploitation and matrix coloring

Simple chains

WebGL-based 3D visualizer in Julia

Mathematical functions related to statistics.

Multi-threaded BLAS-like library that provides pure Julia matrix multiplication

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Utility package for accessing common Machine Learning datasets in Julia

Scalable symbolic-numeric set computations in Julia

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Grid-based simulations in Julia

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

A Julia interface to the Gurobi Optimizer

A Julia package for large-scale tensor computations, with a hint of category theory

Graph Neural Networks in Julia

Abstract types and methods for Gaussian Processes.

Bayesian Networks for Julia

A Julia wrapper for libpq

Financial market technical analysis & indicators in Julia

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Tidier data visualization in Julia, modeled after the ggplot2 R package.