Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Differentiable acoustic ray tracers

Effective parallelism for power flow calculation

🔵 Interface and drivers for integrating Solvers and Samplers with the JuMP/MOI ecosystem

Package for modeling glycolysis activity

A Julia-powered toolkit for material point method

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

Implementations for some distributions using a consistent API and AD-friendly code.

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

Computation and numerical approximation of survival signatures.

Predefined environments and controllers for FlightSims.jl

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

Example problems for GeometricIntegrators.jl

Proximal operators for use with RegularizedOptimization

Julia code for general and low-rank semidefinite optimization

Extension Repository for the simulation of Hybrid Energy Systems with PowerSimulations.jl

A generic solver for Ornstein-Zernike equations from liquid state theory

Julia Package for Active Inference

Numerical bifurcation analysis for delay differential equations

Network Hawkes processes in Julia.

Implementation of the Gandhi, Navarro, Rievers (2020) production function estimator.

DecomposingPolynomialSystems.jl is a Julia package that decomposes (simplifies) a given polynomial system using tools from numerical algebraic geometry.

[DEPRECATED: rendered useless by MathOptInterface.Bridges] A MathOptInterface extension for Semidefinite programming solvers

Implementations of (soil) freezing characteristic curves, along with helpful tools for their optimization and inference, in Julia.

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

Implementation of The Cannon (Ness+ '15), a data-driven model for stellar spectra

Benchmark BLAS Libraries

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

Code for cosmological SFB analysis.

Beam implementation for JuliaEFM

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EDS spectrum analysis tools within the NeXL toolset

Data-driven models for extremely precise radial velocity (EPRV) spectra

Stability Tools for Threshold Vector Autoregressive Models

Evidential Deep Learning Layers for Flux

Bayesian Safety Signal Detection in Julia

A small Julia package to facilitate working with the Trillion Dollar Words dataset.

Computing the Riemann Theta function in Julia

Astrophysical plotting interfaces for Julia

A julia package for automatic finite size scaling.