The lightweight base package for numerical simulation supporting nested dynamical systems and macro-based data logger. For more functionality, see FlightSims.jl.

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

MPI based parallel for method of moments (MoM) and MLFMA (https://github.com/deltaeecs/MoM_AllinOne.jl.jl)

Pure Julia implementation of tools used in Coding Theory

A repository for adaptive transport maps

Example problems for GeometricIntegrators.jl

Bayesian Safety Signal Detection in Julia

Evidential Deep Learning Layers for Flux

A powerful, no code solution for control and systems engineering

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

Reliability-based optimization

Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem

Optimally tuned ridge regression when features can be partitioned into groups.

Basic Quantum Circuit Emulation Subroutine

Numerical bifurcation analysis for delay differential equations

A Julia package for people that love to learn new things about constraints

Nonlocal Electrostatics in Structured Solvents

A Julia package for integration of packages of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

Julia Package for Active Inference

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Predefined environments and controllers for FlightSims.jl

-

Phylogenetic Estimation of Shifts in the Tempo of Origination

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

Deep and convolutional neural networks with feedback operations in Flux.

F-1 method

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

Code generation for Euler-Lagrange equations.

One package to train them all

Empirical Bayes shrinkage in Julia

Monotone Cubic B-Splines (arXiv:2307.01748)

Classification algorithms based on kernel nearest centers

-

A Julia package to solve multi-state system models, often found in reliability engineering.

Differential Inequality Algorithms for Parametric ODEs

High Frequency radar data interpolation with DIVAnd