This library uses the LaTeX package pgfplots to produce plots.

Tools for the exploration of chaos and nonlinear dynamics

A set of functions to support the development of machine learning algorithms

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.

A Julia package for solving systems of polynomials via homotopy continuation.

Boosted trees in Julia

Language for symbolic mathematics

Fast, general-purpose interactive applications for complex systems

Polyhedral Computation Interface

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

Geographical plotting utilities for Makie.jl

Basic Geometry Types

Graph-related recipes to be used with Plots.jl

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

Julia interface to AWS

Differentiable collision detection for polytopes, capsules, cylinders, cones, spheres, and polygons.

Differentiable RayTracing in Julia

A Julia framework for invertible neural networks

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

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

Lasso/Elastic Net linear and generalized linear models

ACME.jl - Analog Circuit Modeling and Emulation for Julia

ConstraintSolver in Julia: Blog posts ->

Gaussian Process package based on data augmentation, sparsity and natural gradients

Interactive display of images and movies

Plotting graphs with Makie

System Identification toolbox, compatible with ControlSystems.jl

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

A flexible neural net training library inspired by fast.ai

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Interactive error messages for the Julia REPL.

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

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

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

PortAudio wrapper for the Julia programming language, compatible with the JuliaAudio family of packages