A Julia package for Bayesian quantum state tomography

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

Darcy flow and reservoir simulator based on Jutul.jl

Experimental framework for automatic differentiation finite-volume simulators

Parsers and processing for geoenergy data file formats in Julia.

A turbulence-convection single column model cloud parameterization.

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

Builder of the three-body decay model using cascade approach

Stochastic Optimization, Learning, Uncertainty and Sampling

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

Methods for computational information geometry

A package for plotting custom symbols from Taija packages.

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

Matrix Product Belief Propagation

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Battery modelling using Jutul.jl and BattMo in MRST

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

General Relativistic Orbital Dynamics in Julia

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

Unitful and differentiable gravitational N-body simulation code in Julia

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

Fast and flexible glacier ice flow models

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.

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.

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

Tensor Trains, mostly as probability distributions

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

A collection of microscopy tools

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

Thin-plate splines in Julia

Tools for general Tight Binding systems

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

Compute the nearest correlation matrix using a pure Julia implementation

Modular random feature approximation in Julia

Benchmark BLAS Libraries

Finite Differencing Method in Julia language

Simulate multivariate distributions with arbitrary marginals.