Exact reduction of ODE models via linear transformations

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Portfolio optimization

Matching algorithms for LightGraphs.jl

Polynomials for ML: fast evaluation, batching, differentiation

Julia implementation of joint models combining longitudinal and survival endpoints

RCall support for MixedModels.jl and lme4

A thin KNITRO wrapper for NLPModels

A sequential quadratic programming solver in Julia

A Julia modeling layer for the Generalized Moment Problem

Neural Signal Analysis

Data transformation tools for analytics

A set of tools to solve potential flows past bodies on a Cartesian grid

Geostatistical clustering methods for the GeoStats.jl framework

Unit and Integration Tests for JuMP NLP and MINLP solvers

Control barrier functions (CBFs) in Julia.

Backward-filtering forward-guiding with StochasticDiffEq.jl

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

Symbolic modeling in Julia!

Common types and interface for discretizers of ModelingToolkit PDESystems.

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Metaheuristics for solving bilevel optimization problems.

Building and using pyramids for large raster data

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Plotting library for ClimateTools

🌊 D-Wave Quantum Annealing Interface for JuMP

Approximate the product between infinite functional objects on a manifold -- i.e. belief products

Julia modeling interface to parallel decomposition solver DSP

Deprecated package (use instead Modia.jl)

Lightweight module of neural differential equations in Kinetic.jl

A simple library for handling NMR data in Julia

A Julia package to perform Tikhonov regularization for small to moderate size problems.

Hyphenate your way to glory! Or centrality.

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.

Ordered multinomial models

Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

PoGO is a Julia package that facilitates automatic piecewise linearization of various non-linear functions within JuMP models.

A Julia interface to the SDPA semidefinite programming solver

Istope-enabled implementation of the LWF-BROOK90 hydrological model in Julia