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

Geospatial tables compatible with the GeoStats.jl framework

Statically sized tensors and related operations for Julia

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

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

Three-dimensional panel method for low-speed aerodynamics

Complex phase portraits for Julia.

Extreme value analysis package for Julia

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

Specialized tools for MRI

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

The weaving paper strips: shape optimization by geometric elasticity

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.

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

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

Neural network training, fast and easy.

Geothermal Cloud for Machine Learning

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OpenMendel package for haplotyping and imputation

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Reverse-mode automatic differentiation for sparse Hessians

Capacity Expansion Problem Formulation for Julia

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Distances to sets for MathOptInterface

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

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

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

A tool to solve optimal control problem

Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

Random Integrators for many-body quantum systems

Presolve routines for mathematical optimization

Your local Flux surgeon

Julia MathML parser

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

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

Rigid body dynamics simulation using maximal coordinates.