-

EDS spectrum analysis tools within the NeXL toolset

Fundamentals of the control-toolbox ecosystem

Model and solve optimal control problems in Julia

Pseudo-transient accelerated iterative solvers

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Utilities for implementing AtomsCalculators

Quantum dynamics simulation environment

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

Bayesian inference with probabilistic programming.

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Define material parameters, perform non-dimensionalization and provide computational routines for material parameters in geodynamic simulations

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

A package containing a library of moist thermodynamic relations.

A package containing a library of moist thermodynamic relations.

-

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

Explainable AI in Julia.

EHT Image domain analysis through template matching.

Unitful coordinate reference systems for geographic maps in Julia

Implementation of variational Bayes inference algorithms

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Direct transcription of an optimal control problem and resolution

Controllers for airborne wind energy systems

Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.

Solve non-linear HJB equations.

Empirical Bayes estimation and inference in Julia.

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

Phylogenetic Estimation of Shifts in the Tempo of Origination

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Partially ordered sets fully compatible with Graphs.jl

Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.

The Julia implementation of the generalised hierarchical Gaussian filter