Recursive causal discovery with Julia

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

Toolbox for categorical time-series analysis.

Experimental Approach to McCormick Relaxation Source-Code Transformation

Layerwise Relevance Propagation in Julia.

Mixed model solution for replicate designed bioequivalence study.

Cumulants based features selection and outlier detection

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

Bayesian addition to Flux.jl

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

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

Power spectra on the masked sky

A Julia package for modelling Algorithmic Recourse Dynamics.

Use PETSc solvers in sequential and parallel Julia runs

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

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

Differentiable acoustic ray tracers

Method to estimate phylogenetic networks from algebraic invariants

Alpha stable and sub-Gaussian distributions in Julia

Extra non essential functionality for MixedModels.jl

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

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A Julia package for piecewise spectral methods such as p-FEM

A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

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

Point-based value iteration solver for POMDPs

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

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DecomposingPolynomialSystems.jl is a Julia package that decomposes (simplifies) a given polynomial system using tools from numerical algebraic geometry.

Point patterns for the GeoStats.jl framework

Pólya-Gamma distribution for Distributions.jl interface

🍃 coupled leaf gas-exchange model

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Evidential Deep Learning Layers for Flux

Incremental pruning solver for partially observable Markov decision processes

Implementation of the Gandhi, Navarro, Rievers (2020) production function estimator.

An uncertainty quantification toolbox for OpenGeoSys 6

GridArrays associates an array of grid points with a domain