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Fast, accurate, and flexible spectral analysis for compressible quantum fluids

Finite Differencing Method in Julia language

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Tensor Trains, mostly as probability distributions

Methods for the evaluation of maximum entropy distributions

A collection of microscopy tools

Library for performing spectroscopic analysis in Julia

An implementation of ARMA convolutional layers in Julia.

Fast and flexible glacier ice flow models

A package for plotting custom symbols from Taija packages.

Builder of the three-body decay model using cascade approach

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Benchmark BLAS libraries on GPUs

This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.

A Julia package for Bayesian quantum state tomography

Simulate multivariate distributions with arbitrary marginals.

Matrix Product Belief Propagation

Package for solving generalized BdG mean field theory of interacting systems.

Thin-plate splines in Julia

Benchmark BLAS Libraries

Compute the nearest correlation matrix using a pure Julia implementation

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Battery modelling using Jutul.jl and BattMo in MRST

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Parsers and processing for geoenergy data file formats in Julia.

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

Modular random feature approximation in Julia

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Tools for general Tight Binding systems

Modern Hopfield layer implementations in Julia

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MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

General Relativistic Orbital Dynamics in Julia

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

A turbulence-convection single column model cloud parameterization.