A Power Flow Solver for GPUs in Julia

Support package for doing Calculus with Julia

Economic modeling in Julia

Blade Element Momentum Method for Propellers and Turbines

A Julia/JuMP Package for Optimal Quantum Circuit Design

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

Differentiable Reacting Flow Modeling Software

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Differentiable trajectory optimization in Julia.

Robust and optimal design and analysis of linear control systems

Definition of dynamical systems and integrators for DynamicalSystems.jl

Makie.jl recipes for visualization of Meshes.jl

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Library supporting the ArrayInterface.jl strided array interface.

A block-structured optimization framework for JuMP

A Julia interface to the Coin-OR Linear Programming solver (CLP)

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

A Julia package for solving nonlinear differential equations using the harmonic balance method.

A hybrid AC/DC OPF package based on PowerModels.jl

Dense and Sparse Least Squares Optimization

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Trajectory Optimization for Robot Arms

A collection of B-spline tools in Julia

Flux's ex AD

Solve optimization problems containing piecewise linear functions

A foolproof way of doing ML with GUI elements.

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Julia for Mathematical Programming - extension for Robust Optimization

Provides a Julia wrapper for the PATH Solver for solving mixed complementarity problems

A few preconditioners for iterative solvers.

Julia package towards classical molecular modeling of nanoporous materials

Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.

Algorithms and syntax for building CSG objects within Julia.

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Finds relationships between the parameters of a mathematical model

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

JuMP-based toolbox for solving bilevel optimization problems