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

Julia wrapper for the Coinbase Pro API

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

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Nonlinear diffusion problems in Julia

Definitions of the Julia types for simulating an ISO's market clearing.

Framework to create your own genetic algorithm with multi-threading.

A Julia package for network decomposition of optimal power flow problems

A Julia package for computing a (fine) mixed subdivision and the mixed volume of lattice polytopes

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A custom branch-and-bound algorithm for solving low-rank matrix completion to certifiable optimality

A Julia package for meshes and basis functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

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A Julia package for modelling Algorithmic Recourse Dynamics.

Extra non essential functionality for MixedModels.jl

Differentiable acoustic ray tracers

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An interface for solving a stochastic capacity expansion problem via a Dantzig-Wolfe decomposition algorithm

Generalized Estimating Equations (GEE) in Julia

Dealing with ERA5 Reanalysis datasets

Image registration using mutual information.

Utilities to read/write extended GSLIB files in Julia

Julia implementation of the Gumbel-Softmax reparametrization trick compatible with Zygote and ForwardDiff

Julia wrapper for CDCS (https://github.com/oxfordcontrol/CDCS/)

Support for out-of-core sparse arrays in Julia, backed by a HDF5 file stored on disk

Traits and low-level utilities for mass spectrometry

Microscope Point Spread Function Calculator

Optimization of Energy Communities in Julia

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

BitArray representation of genetic sequences in Julia

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

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Non-compartmental pharmacokinetics analysis for Julia.

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

Toolbox for categorical time-series analysis.

Zeros of Bessel J and Y functions

A toolkit for the quantum and classical Dicke model in Julia.

Entire Efficient Frontier by Status-Segment Method

A framework to define and output observables and statistics from CliMA simulations