Compute Bell inequalities and their quantum violations.

Graph Compression using Quasi-stable Coloring

Tools for creating, moving, and discretizing rigid bodies

A collection of structures to define observation or action spaces of Reinforcement Learning environments. [May be moved into CommonRLInterface once stable]

This is a Julia library for processing ESA Sentinel 2 satellite data.

Maps from the line into spaces

Mixed model solution for replicate designed bioequivalence study.

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Package to map SPH particle data to a cartesian grid

Julia stochastic processes package.

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

Dynamic Gradients for Quantum Control

Model comparison functions for statistical models as used in StatisticalRethinking. Version 2 will likely use or be based on ParetoSmooth.jl.

Nonlinear diffusion problems in Julia

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Julia package for football analytics

Julia implementation of the Taylor-Fourier Transform (TFT)

Drawing functions for `SimpleGraphs`

Power spectra on the masked sky

Implementation of a drone surveillance problem with POMDPs.jl

Cumulants based features selection and outlier detection

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

Package for unfolding of complex 3-D geometries.

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Data processor for Vlasiator

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Voronoi diagrams in N dimensions using an improved raycasting method.

Tools for generating and visualizing planar maps

Differentiable acoustic ray tracers

Method to estimate phylogenetic networks from algebraic invariants

Sampling quantum phase space distributions

Anytime error minimization search for POMDPs, implemented in Julia.

A Julia package for modelling Algorithmic Recourse Dynamics.

The base package for AutoMLPipeline.jl and TSML.jl

Solutions for combinatorial problems using symbolic methods.

Ground-motion simulation via the Stochastic Method

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

Highly flexible and efficient computation of n-dimensional binned statistic(s) for n-variable(s)

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Algorithms for performing angular differential imaging (ADI)