Package for the quantum computation and quantum simulation based on the neutral-atom architecture.

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

A fresh approach to coordinate transformations...

A JuMP-based Nonlinear Integer Program Solver

Kernel density estimators for Julia

Julia implementations for different rotation parameterizations

Boosted trees in Julia

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

Fast, general-purpose interactive applications for complex systems

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

Polyhedral Computation Interface

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

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

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

Reverse-mode automatic differentiation in Julia

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

Pure-Julia multidimensional h-adaptive integration

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

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

A Julia interface to the Ipopt nonlinear solver

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

A Platform for Scalable Modeling and Optimization

Differentiable RayTracing in Julia

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

A Julia framework for invertible neural networks

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

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

A development environment for robust and global optimization