Data processor for Vlasiator

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

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A toolkit for the quantum and classical Dicke model in Julia.

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A Julia package for modelling Algorithmic Recourse Dynamics.

Many-body objects for quantum computing: a Julia implementation

A companion package for Microbiome.jl for working with the Biobakery family of computational tools

Quantum Exact Simulation Toolkit is a high performance simulator of quantum circuits, state-vectors and density matrices

A Julia based implementation of Plug and Play Language Models

Digital signal processing for radiation detectors

Geometry optimization for molecular simulation

A Julia package for computing singular integrals

Calculates multidimensional functions faster by exploiting their separability.

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Alpha stable and sub-Gaussian distributions in Julia

Variable Selection with Knockoffs

Bayesian addition to Flux.jl

An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.

Optimization of Energy Communities in Julia

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

Provides a general framework for implementing and performing Kernel Density Estimation

Independent Hypothesis Weighting for multiple testing with side-information in Julia

Differentiable acoustic ray tracers

Modular/extensible Julia library for Computer Adaptive Tests

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

Symmetry-allowed k ⋅ p expansions

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

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Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

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Implementation of a drone surveillance problem with POMDPs.jl

Solver for complemetarity-based dynamics.

Experimental Approach to McCormick Relaxation Source-Code Transformation

Julia implementation of Factored Spectrally Transformed Linear Mixed Models

Power spectra on the masked sky

High performance hybrid Monte Carlo simulation

Point-based value iteration solver for POMDPs

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