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

Branch-and-Price-and-Cut in Julia

Computing reachable states of dynamical systems in Julia

Causal inference, graphical models and structure learning in Julia

Tools for the exploration of chaos and nonlinear dynamics

This library uses the LaTeX package pgfplots to produce plots.

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Graph-related recipes to be used with Plots.jl

Implementations of the models from the Statistical Rethinking book with Turing.jl

Automatic Finite Difference PDE solving with Julia SciML

A Platform for Scalable Modeling and Optimization

Differentiable RayTracing in Julia

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

A Julia/JuMP Package for Unbalanced Power Network Optimization

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Plotting graphs with Makie

System Identification toolbox, compatible with ControlSystems.jl

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Julia package for simulating Dynamics on Networks

OpenStreetMap (*.osm) support for Julia 1.0 and up

Algorithms and data structures for game theory in Julia

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Solve non-linear HJB equations.

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Hydrological modeling