Financial derivatives modeling and pricing in Julia.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Differentiate python calls from Julia

Robust and optimal design and analysis of linear control systems

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Discrete event generation and simulation 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.

Differentiable trajectory optimization in Julia.

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A Julia package for describing array layouts and more general fast linear algebra

Boundary Element Analysis and Simulation Toolkit

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

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

Makie.jl recipes for visualization of Meshes.jl

Definition of dynamical systems and integrators for DynamicalSystems.jl

Dense and Sparse Least Squares Optimization

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

Analysis of complex surveys

Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.

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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

Trajectory Optimization for Robot Arms

A collection of B-spline tools in Julia

Layouting for Makie.jl

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

GPU integrations for Dagger.jl

A few preconditioners for iterative solvers.

Julia package towards classical molecular modeling of nanoporous materials

Finds relationships between the parameters of a mathematical model

Functionality for working efficiently with block diagonal matrices.

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

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

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

A Comprehensive Julia implementation of the Vortex Lattice Method

Generic UNet implementation written in pure Julia, based on Flux.jl

Neuroimaging in Julia

A Julia package for robust neural networks.