A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Fast Fourier transforms of MPI-distributed Julia arrays

Solid state detector field and charge drift simulation in Julia

WIP successor to Soss.jl

Preheat your MCMC

Modeling and Simulation of 3D systems

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Structured optimization in Julia

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Julia toolkit for open quantum system simulation.

Implementation of the Deep Q-learning algorithm to solve MDPs

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Build Petri net models compositionally

Simulation and visualization of articulated rigid body systems in Julia

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Makie package to plot maptiles from various map providers

Bayesian Generalized Linear models using `@formula` syntax.

A simple tool for simulating trapped ion systems

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Generalized mean-field equations in open quantum systems

Graph plotting and drawing networks with Julia, using Luxor graphics

Turing + Makie = Turkie

Taylor-mode automatic differentiation for higher-order derivatives

Global glacier model using Universal Differential Equations for climate-glacier interactions

Simulation of quantum systems on a lattice

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A operator overloading, tape-based, reverse-mode AD

Building dynamical systems compositionally

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

An open-source framework written in Julia for global integrated assessment models.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Visualization for Flux.Chain neural networks

Base functionality library for QuantumOptics.jl

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Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Rigorous function approximation using Taylor models in Julia

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

An open source model predictive control package for Julia.