A Julia package for building, and running Biochemical Systems Theory (BST) models

Julia package for numerical sensitivity analysis.

A Julia package containing GNC algorithms for autonomous aerospace systems

-

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.

A Julia package to provide RML imaging methods for high-resolution radio interferometry

Empirical Bayes shrinkage in Julia

Deep and convolutional neural networks with feedback operations in Flux.

Lazy interface to lattices with arbitrary unit cells.

Linear periodic time-varying systems tools in Julia

Univariate and multiple comparisons statistical hypothesis testing by data permutation

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

-

Phylogenetic Estimation of Shifts in the Tempo of Origination

This package provides access to the QuasiGrad solver, developed for the 3rd ARPA-E Grid Optimization (GO) Challenge.

F-1 method

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Lightweight module for fusing physical and neural models

Fast forward simulations of extragalactic foregrounds

Manifolds for the natural parameters of members of the exponential family of distributions

High Frequency radar data interpolation with DIVAnd

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

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

Code generation for Euler-Lagrange equations.

-

-

Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

A convenient logging tool compatible with https://github.com/SciML/DifferentialEquations.jl

Dependency aware feature selection

Differential Inequality Algorithms for Parametric ODEs

Advanced process control for AutomationLabs

Dynamical systems identification

One package to train them all

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Julia wrapper of LoopTools for computing one-loop integrals

-

Simulation engine for Heta-based models

Package allowing tensor calculations in arbitrary coordinate systems.

Monotone Cubic B-Splines (arXiv:2307.01748)