Robust and optimal design and analysis of linear control systems

Segment-anything wrapped for Julia

Differentiable trajectory optimization in Julia.

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.

Discrete event generation and simulation in Julia

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

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Boundary Element Analysis and Simulation Toolkit

Makie.jl recipes for visualization of Meshes.jl

Definition of dynamical systems and integrators for DynamicalSystems.jl

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

Ambient Noise Cross-Correlation in Julia

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

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

A foolproof way of doing ML with GUI elements.

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

Healpix library written in Julia

Tight-binding package written in Julia

Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations

Trajectory Optimization for Robot Arms

Bundle your Julia application

A client interface to read from and write to the TypeDB Knowledge Graph

Layouting for Makie.jl

FileIO.jl integration for CSV files

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

Julia package towards classical molecular modeling of nanoporous materials

Algorithms and syntax for building CSG objects within Julia.

A few preconditioners for iterative solvers.

GPU integrations for Dagger.jl

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

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Finds relationships between the parameters of a mathematical model

Google Earth Engine in Julia

Spectral clustering algorithms written in Julia

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

Short codes to embed content in Pluto notebooks

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)