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

Kernel density estimators for Julia

Julia implementations for different rotation parameterizations

Boosted trees in Julia

Language for symbolic mathematics

Fast, general-purpose interactive applications for complex systems

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Polyhedral Computation Interface

2D plotting for Julia

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

Geographical plotting utilities for Makie.jl

Graph-related recipes to be used with Plots.jl

Quantitative systematic trading strategy development and backtesting in Julia

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

Causal, Higher-Order, Probabilistic Programming

Core functionality for the MLJ machine learning framework

Julia package for loading many of the data sets available in R

Sparse tensors in Julia and more! Datastructure-driven array programing language.

Automatic Finite Difference PDE solving with Julia SciML

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

A meta package for data science in julia

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

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

Differentiable RayTracing in Julia

A Julia framework for invertible neural networks

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Math with more good bits

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

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

Time series market data

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

A development environment for robust and global optimization

Julia port of L.J.P. van der Maaten and G.E. Hintons T-SNE visualisation technique.

Lasso/Elastic Net linear and generalized linear models

Package for Simulation, Tomography and Analysis of Quantum Computers

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Interior point solver for general convex conic optimization problems