A Julia toolbox with resampling methods to correct for class imbalance.

What were my hyper-parameter settings again?

Flow algorithms on Graphs.jl

Morphological operations for image processing

A JuMP extension for Generalized Disjunctive Programming

Unitary and Lindbladian evolution in Julia

Tensor networks for quantum error correction.

A Julia package for Aeroacoustics

Easily Reference and use Actuarial Mortality Tables

Computing with B-series in Julia

Pruning framework and methods for Flux

The julia package for nonparametric density estimate and regression

A unified interface for simulating and evaluating sequential sampling models in Julia.

A Julia package to manage Constraint-Based Local Search (CBLS) solvers.

A component library based on ModelingToolkit

Design of Experiments in Julia

Utility functions for physical oceanography (properties of seawater, air-sea heat fluxes,...)

Parse and process SAM and BAM formatted files

Extension of JuMP to model decomposable mathematical programs (using Benders or Dantzig-Wolfe decomposition paradigm)

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Julia package for working with Google Sheets

🟦 JuMP ToQUBO Automatic Reformulation

A package for representing quasi arrays with continuous indices

Package for automotive simulation in julia

A Julia package for making figures with Asymptote and Cairo

A package for various computations with simplicial complexes, combinatorial codes, directed complexes and their filtrations.

Computational Geometry Foundations for Finite and Boundary Element Methods

Learning state-space targets in dynamical systems

Quantum Optimal Control with Direct Collocation

Improved susceptibility weighted imaging using multi-echo aquisitions

Solvers for the Eikonal equation

A Julia implementation of Bayesian linear regression using marginal likelihood for hyperparameter optimization, as presented in Chris Bishop's book.

Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.

No bells and whistles foundation of Optim.jl

Image inpainting algorithms in Julia

Muon for Julia

OpenSMILES parser in Julia

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Kohonen's self-organising maps for Julia

Julia package of regularization functions for machine learning