Implements the Partitioned Least Squares algorithms

Generalized Estimating Equations (GEE) in Julia

Julia implementation of Factored Spectrally Transformed Linear Mixed Models

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

Read OpenStreetMap PBF files in Julia

Anytime error minimization search for POMDPs, implemented in Julia.

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

Package to map SPH particle data to a cartesian grid

Repository for plotting implicitly defined surfaces and curves in R3.

A simple package for easily downloading/parsing CPS microdata files.

Interface-based REST library for Julia, HTTP.jl

Julia interface to the National Library of Medicine's online pharmaceutical RxNav API

Algorithms for performing angular differential imaging (ADI)

Use PETSc solvers in sequential and parallel Julia runs

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

Interfaces for deep learning data pipelines.

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The base package for AutoMLPipeline.jl and TSML.jl

Toolbox for categorical time-series analysis.

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

Fast implementations of FastICA and DUET for blind source separation

Efficient RAG knowledge pack creator from online Julia documentation

A Julia package for network decomposition of optimal power flow problems

Tests for constraint-based metabolic models

Drawing functions for `SimpleGraphs`

Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF

A Julia package for meshes and basis functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

Method to estimate phylogenetic networks from algebraic invariants

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

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

Solutions for combinatorial problems using symbolic methods.

Bayesian addition to Flux.jl

A Julia package for modelling Algorithmic Recourse Dynamics.

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

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

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

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Julia implementation of Autocorrelation Wavelets.