Non-compartmental pharmacokinetics analysis for Julia.

Variable Selection with Knockoffs

Utilities to read/write extended GSLIB files in Julia

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

Experimental Approach to McCormick Relaxation Source-Code Transformation

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Nonlinear diffusion problems in Julia

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.

Package for modeling glycolysis activity

Digital signal processing for radiation detectors

Optimization of Energy Communities in Julia

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

Drawing functions for `SimpleGraphs`

Differentiable acoustic ray tracers

Plot critical difference diagrams in Julia

Use PETSc solvers in sequential and parallel Julia runs

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

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

Geometry optimization for molecular simulation

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

Package to map SPH particle data to a cartesian grid

Julia implementation of the Taylor-Fourier Transform (TFT)

Compute Bell inequalities and their quantum violations.

Counterfactual Regret Minimization Game solution methods for Julia

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Strategy simulation for simple games.

Tools for creating, moving, and discretizing rigid bodies

A Makie theme

A Julia package for piecewise spectral methods such as p-FEM

Julia implementation of Autocorrelation Wavelets.

Utilities for working with DataFrames of `Intervals.jl` or `TimeSpans.jl` objects.

Maps from the line into spaces

A Julia package for computing singular integrals

A Julia package for modelling Algorithmic Recourse Dynamics.

Power spectra on the masked sky

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 package for MPI reconstruction

Save videos from Julia

Generates a cellular automata animation of the given GitHub repository.