Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

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

Robust and optimal design and analysis of linear control systems

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.

-

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

Makie.jl recipes for visualization of Meshes.jl

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

Definition of dynamical systems and integrators for DynamicalSystems.jl

Dense and Sparse Least Squares Optimization

Analysis of complex surveys

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

-

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

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

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

A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

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

A collection of B-spline tools in Julia

Julia package towards classical molecular modeling of nanoporous materials

GPU integrations for Dagger.jl

Layouting for Makie.jl

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

A few preconditioners for iterative solvers.

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

Finds relationships between the parameters of a mathematical model

A Julia package for robust neural networks.

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

Statistical visualizations based on high performance plotting package Makie

Neuroimaging in Julia

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

For analysis of microbiome and microbial community data