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

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.

WebGL-based 3D visualizer in Julia

A bridge between Julia and the Web.

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.

Utility package for accessing common Machine Learning datasets in Julia

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

Grid-based simulations in Julia

A Julia interface to the Gurobi Optimizer

Bayesian Networks for Julia

A Julia wrapper for libpq

Abstract types and methods for Gaussian Processes.

Financial market technical analysis & indicators in Julia

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

A library of data interpolation and smoothing functions

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Julia package registration bot

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

Reservoir computing utilities for scientific machine learning (SciML)

Raster manipulation for the Julia language

Julia wrapper for the ArrayFire library

Serving JS to the browser

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Performant arrays where each dimension can have a named axis with values

Hyperparameter optimization in Julia.

A Bayesian Analysis Toolkit in Julia

Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Branch-and-Price-and-Cut in Julia

Julia wrappers of SymEngine

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

Causal inference, graphical models and structure learning in Julia

Julia package for deploying APIs

Computing reachable states of dynamical systems in Julia

This library uses the LaTeX package pgfplots to produce plots.

Tools for the exploration of chaos and nonlinear dynamics