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.

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

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Variable Selection with Knockoffs

Sampling quantum phase space distributions

Hypothesis tests of calibration.

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

Plot critical difference diagrams in Julia

Compute Bell inequalities and their quantum violations.

Extra non essential functionality for MixedModels.jl

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

Anytime error minimization search for POMDPs, implemented in Julia.

A Julia package for modelling Algorithmic Recourse Dynamics.

Http://proceedings.mlr.press/v119/bruinsma20a.html

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

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

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

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Tools to specify and simulate individual based models, using applied category theory

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Julia stochastic processes package.

Alpha stable and sub-Gaussian distributions in Julia

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

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

Modular/extensible Julia library for Computer Adaptive Tests

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Experimental Approach to McCormick Relaxation Source-Code Transformation

Http://proceedings.mlr.press/v119/bruinsma20a.html

Optimization of Energy Communities in Julia

Julia implementation of the Gumbel-Softmax reparametrization trick compatible with Zygote and ForwardDiff

Utilities to read/write extended GSLIB files in Julia

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

Cumulants based features selection and outlier detection

Algorithms for performing angular differential imaging (ADI)

Provides a general framework for implementing and performing Kernel Density Estimation

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

A powerful, no code solution for control and systems engineering