Provides basic data structures and helpful functions for manipulating structures, generating input files, pre-running error checks, etc.

Ecosystem for writing partial differential equation solvers

Package to build Cases for Power Systems Modeling

Modern Hopfield layer implementations in Julia

A Julia package for Differential Evolution MCMC

Trust region methods for nonlinear systems of equations in Julia.

A new lightweight package for Deep Learning with Julia

A Julia client for the JuliaHub platform

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

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Julia implementation of the bond graph framework

Representation of infinity in Julia

Extensible library for finite element programming

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

Implements a Julia Unmarshal package, which will construct Julia objects from a marshalled string after having been parsed by another package (currently JSON.jl and LaxyJSON.jl has been tested).

Vector Finite Difference Maxwell Modesolver

Learning Dynamic Movement Primitives in Julia

High performance cyclic ray tracing algorithm for neutron transport in Julia.

A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

Centripetal Catmull-Rom curves for interpoint traversal

Proximity Queries for Parametric Curves

Simple visualization for the RigidBodyDynamics.jl library

Experimental features for Flux.jl

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Local polynomial regression in pure Julia

Finite Element tools in Julia: Analysis of flexible structures, beams and shells

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Julia implementation of Smooth Local Projections (SLP)

Thermodynamic Integration for Turing models and more

Package Information and Documentation

Extended XYZ read/write support for Julia

Julia interface for MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

Tidier analysis of categorical variables, modeled after the forcats R package.

Empirical probability distributions in Julia

An astrodynamics package for working in the three body problem

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning