A turbulence-convection single column model cloud parameterization.

Tools for general Tight Binding systems

Builder of the three-body decay model using cascade approach

Thin-plate splines in Julia

Tensor Trains, mostly as probability distributions

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A package for plotting custom symbols from Taija packages.

Library for performing spectroscopic analysis in Julia

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General Relativistic Orbital Dynamics in Julia

Modular random feature approximation in Julia

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

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

Finite Differencing Method in Julia language

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.

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Global glacier model using Universal Differential Equations for climate-glacier interactions

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DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Compute the nearest correlation matrix using a pure Julia implementation

A collection of microscopy tools

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.

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

Methods for the evaluation of maximum entropy distributions

Matrix Product Belief Propagation

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

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Darcy flow and reservoir simulator based on Jutul.jl

Experimental framework for automatic differentiation finite-volume simulators

Methods for computational information geometry

Fast and flexible glacier ice flow models

Modern Hopfield layer implementations in Julia

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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.

Parsers and processing for geoenergy data file formats in Julia.

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A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Stochastic Optimization, Learning, Uncertainty and Sampling

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