Data Structures for Optimization Models

2D plotting for Julia

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Julia port of the Python autograd package.

Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things!

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

Basic Geometry Types

An interface to various automatic differentiation backends in Julia.

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

Generic abstract algebra functionality in pure Julia (no C dependencies)

A solver for nonlinear programming

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

Core functionality for the MLJ machine learning framework

Reverse-mode automatic differentiation in Julia

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

Interior-point solver in pure Julia

A meta package for data science in julia

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

A Julia interface to the Ipopt nonlinear solver

Julia package for writing VTK XML files

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

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

A Platform for Scalable Modeling and Optimization

Linear Operators for Julia

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.

A Julia package for strided array views and efficient manipulations thereof

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

Finite Element tools in Julia