Gmsh generated meshes for Gridap

Create ensembles of machine learning models from scikit-learn, caret, and julia

Embedded finite element methods in Julia

Structure Preserving Machine Learning Models in Julia

Evolve Flux networks from scratch!

Julia package for ecosystem simulation

A Julia package for constrained iterative LQR (iLQR)

Flexible data augmentation library for machine and deep learning

Incompressible Navier-Stokes solver

Experimental framework for automatic differentiation finite-volume simulators

Quantile regression in Julia

A library for graph analysis written Julia.

Life Actuarial Maths

Interface package for featurizing atomic structures

Implementations of single and multi-ellipsoid nested sampling

Various Kalman Filters: KF, UKF, AUKF and their Square root variant

Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment

A Petri net modeling framework for the Julia programming language

Methods for computational information geometry

Julia package for finding traffic user equilibrium flow

Simple explicit compressible Euler solver for 3D unstructured polyhedral meshes written in Julia

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A Julia package for parallel peridynamics simulations

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Unified contact simulaton and collision detection

Common functions in actuarial and financial routines

Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots

Sum-product networks in Julia.

MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

Data visualization in Julia

Robotics library written in the Julia programming language

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

A Julia package for classical orthogonal polynomials and expansions

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Convenient way to handle simple graphs and digraphs

Publication quality regression and statistical tables

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Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.