WAIC and PSIS model comparison methods as explained in Statistical Rethinking.

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Reinforcement learning framework to find and analyze the likeliest failures of a system under test.

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

Julia stochastic processes package.

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Recursive causal discovery with Julia

Mixed model solution for replicate designed bioequivalence study.

Differentiable acoustic ray tracers

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Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Bayesian addition to Flux.jl

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Compute Bell inequalities and their quantum violations.

A julia package to implement model selection algorithms on basic regression models.

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

BioCCP.jl exploits the Coupon Collector Problem for sample size determination in combinatorial biotechnology.

Package for unfolding of complex 3-D geometries.

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

Hypothesis tests of calibration.

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Toolbox for categorical time-series analysis.

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

Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.

Modular/extensible Julia library for Computer Adaptive Tests

Plot critical difference diagrams in Julia

Cumulants based features selection and outlier detection

Algorithms for performing angular differential imaging (ADI)

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

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

High performance hybrid Monte Carlo simulation

Conversions between Distributions.jl distributions and MeasureTheory.jl measures.

Drawing functions for `SimpleGraphs`

Implementation of a drone surveillance problem with POMDPs.jl

Anytime error minimization search for POMDPs, implemented in Julia.

Optimization of Energy Communities in Julia

Generalized Estimating Equations (GEE) in Julia

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

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

Nonlinear diffusion problems in Julia