Research package for automatic differentiation of programs containing discrete randomness.

A Bayesian Analysis Toolkit in Julia

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Branch-and-Price-and-Cut in Julia

Computing reachable states of dynamical systems in Julia

Tools for the exploration of chaos and nonlinear dynamics

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.

Boosted trees in Julia

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

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

Data Structures for Optimization Models

Julia port of the Python autograd package.

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

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

A solver for nonlinear programming

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

Julia interface to AWS

Reverse-mode automatic differentiation in Julia

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

Automatic Finite Difference PDE solving with Julia SciML

Reusable compiler infrastructure for Julia GPU backends.

Interior-point solver in pure Julia

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

Linear Operators for Julia

A Julia framework for invertible neural networks

A Julia package for strided array views and efficient manipulations thereof

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

Package for Simulation, Tomography and Analysis of Quantum Computers

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Automatically update the [compat] entries for your Julia package's dependencies

ORM layer for Genie.jl, the highly productive Julia web framework

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Read ONNX graphs in Julia

It slices, it dices, it splices!

Fermi quantum chemistry program

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.