Nonlinear optical pulse propagator

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A Power Flow Solver for GPUs in Julia

Support package for doing Calculus with Julia

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Distributed Data Parallel Training of Deep Neural Networks

Robust and optimal design and analysis of linear control systems

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.

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

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Definition of dynamical systems and integrators for DynamicalSystems.jl

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

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

A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

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

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

A few preconditioners for iterative solvers.

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

Finds relationships between the parameters of a mathematical model

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 Julia package for robust neural networks.

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

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Relational Algebra, now with more algebra!

Julia package containing utilities intended for Time Series analysis.

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

A fast and flexible Structural Equation Modelling Framework

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

A CPU- and GPU-friendly package for solving ordinary differential equations

Measure the distance between two spectra/signals using optimal transport and related metrics

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Machine learning with Mill.jl for JSON documents

Quantum Algorithms for solving differential equations

Reimplementation of Raphaelvallat's Pingouin in Julia