Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

Differential equation problem specifications and scientific machine learning for common financial models

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Accelerate your ML research using pre-built Deep Learning Models with Lux

Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well as custom rules to allow for mixed-mode AD or calling external (non-AD compatible) functions within an AD chain.

Three-dimensional panel method for low-speed aerodynamics

Complex phase portraits for Julia.

Accurate and fast tight-binding calculations, using pre-fit coefficients and three-body terms.

Extreme value analysis package for Julia

Functions for declaring and working with grammars and expression trees in Julia.

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Specialized tools for MRI

OpenMendel package for haplotyping and imputation

Reverse-mode automatic differentiation for sparse Hessians

Julia packages for joint optimization of natural gas and power transmission networks

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Neural network training, fast and easy.

Geothermal Cloud for Machine Learning

A Julia wrapper around a PyCall wrapper around the qhull Convex Hull library

Capacity Expansion Problem Formulation for Julia

Distances to sets for MathOptInterface

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An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Builds conductance based neural networks iteratively, from ion channels and synapses

A tool to solve optimal control problem

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Presolve routines for mathematical optimization

Julia MathML parser

Signal logging and scoping for DifferentialEquations.jl simulations.

A Julia package for computing processes related to plant ecophysiology and biophysics

Implementation of SDDP (Stochastic Dual Dynamic Programming) using the StructJuMP modeling interface

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Rigid body dynamics simulation using maximal coordinates.