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.

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

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

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

A JuMP-based Nonlinear Integer Program Solver

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.

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

Polyhedral Computation Interface

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

Quantitative systematic trading strategy development and backtesting in Julia

An interface to various automatic differentiation backends in Julia.

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

Causal, Higher-Order, Probabilistic Programming

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

Core functionality for the MLJ machine learning framework

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

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

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

A meta package for data science in julia

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

A Platform for Scalable Modeling and Optimization

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

A Julia interface to the Ipopt nonlinear solver