Implementation of the Deep Q-learning algorithm to solve MDPs

Julia toolkit for open quantum system simulation.

Build Petri net models compositionally

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

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

Structured optimization in Julia

A simple tool for simulating trapped ion systems

Bayesian Generalized Linear models using `@formula` syntax.

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

Simulation and visualization of articulated rigid body systems in Julia

Sequential Monte Carlo algorithm for approximation of posterior distributions.

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

Generalized mean-field equations in open quantum systems

Turing + Makie = Turkie

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

Taylor-mode automatic differentiation for higher-order derivatives

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

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

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

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

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

Building dynamical systems compositionally

Base functionality library for QuantumOptics.jl

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

Visualization for Flux.Chain neural networks

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

-

An open source model predictive control package for Julia.

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)

Darcy flow and reservoir simulator based on Jutul.jl

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Atomic graph models for molecules and crystals in Julia

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

Import, process and interpret geophysical data sets to be used in numerical models.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Use Optim to train Flux models and visualize loss landscapes

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst