Graphical/statistical plotting GUI package for quick data visualisation and exploration.

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Yet another Quantum simulator

An implementation of Feynman's variational path integral technique, written in Julia, for the determination of phenomenological properties of the electron in electronic materials.

Automatically mirror Julia package repositories

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Geostatistical processes for the GeoStats.jl framework

A Julia library for working with curvilinear grids

Backend-agnostic differentiation with symbolic pass-through in Julia.

A Julia package to efficiently handle repetitive patterns

Basic functionality for EarthSciML system

Interfacing NumericalEFT with TRIQS and other external packages.

Bayesian inference for Discrete state-space Partially Observed Markov Processes in Julia. See the docs:

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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.

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2d/3d rigid body dynamics solver

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The Dynamic Agroforestry Coffee Crop Model in Julia

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Geostatistical estimation solvers for the GeoStats.jl framework

Tools for working with Bifrost in Julia

[WIP] Random Fourier Feature approximations for KernelFunctions.jl

Bayesian optimal design of experiments in Julia. Note: This is just a mirror of the main branch for the Julia General registry. Development happens at sourcehut. Please report any issues over there.

Fitting astrophysical star formation histories via CMD modelling.

Inverse distance estimation solver for the GeoStats.jl framework

Interactive visualisations for the variational polaron problem with Makie.

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This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

Successive Convex Programming (SCP) algorithms

Test images for evaluating MPI simulation frameworks.

Invariant Causal Prediction in pure Julia

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

Specification and efficient samplers for several random matrix distributions, focusing on spiked models in real-valued data.

Univariate density estimation via Bernstein polynomials; able to model explicit combinatorial shape constraints.

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Implementation of the finite volume method in 1D.