A package to plot shapefiles with Julia.

Build custom model types for estimation.

Neural Signal Analysis

Collection of layers that can perform arithmetic operations

Backward-filtering forward-guiding with StochasticDiffEq.jl

Unit and Integration Tests for JuMP NLP and MINLP solvers

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

A Julia modeling layer for the Generalized Moment Problem

Data transformation tools for analytics

Geostatistical clustering methods for the GeoStats.jl framework

Rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)

Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem

A sequential quadratic programming solver in Julia

Graph-building for AtomicGraphNets

Sklearn Interface and Distributed Training for Flux.jl

Control barrier functions (CBFs) in Julia.

Common types and interface for discretizers of ModelingToolkit PDESystems.

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

ExponentialFamily.jl is a Julia package that extends the functionality of Distributions.jl by providing a collection of exponential family distributions and customized implementations.

Metaheuristics for solving bilevel optimization problems.

Plotting library for ClimateTools

Lightweight module of neural differential equations in Kinetic.jl

A high-performance library for gradient based quantum optimal control

Deprecated package (use instead Modia.jl)

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Ordered multinomial models

Notebook integrations for Javis.jl

A julia interface to the LSODA solver

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

Additional algorithms for the `SimpleGraphs` module that rely on integer programming

A set of functions in pure Julia for Game Theory

Screen eavesdrop in real time leveraging SDR and pure Julia implementation !

Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning

Solvers and preconditioners for the Gridap ecosystem.

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

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

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Gradient Descent optimizers for Julia

Implementation of Arxiv:2212.08549 in Julia

Methods for the manipulation of geometric data, grid generation, and visualization formatting.