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Julia package to work with KaTeX

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A toolkit for the quantum and classical Dicke model in Julia.

Package for unfolding of complex 3-D geometries.

Use PETSc solvers in sequential and parallel Julia runs

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Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

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Algorithms for finding a non-overlapping set of cliques in a graph

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Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF

A Makie theme

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

A Julia package for meshes and basis functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

High performance hybrid Monte Carlo simulation

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Strategy simulation for simple games.

Julia package for performing Bloch simulations within the context of Magnetic Resonance Imaging

Package to map SPH particle data to a cartesian grid

Julia implementation of Factored Spectrally Transformed Linear Mixed Models

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A Julia package for computing a (fine) mixed subdivision and the mixed volume of lattice polytopes

Extra non essential functionality for MixedModels.jl

Algorithms for performing angular differential imaging (ADI)

Efficient RAG knowledge pack creator from online Julia documentation

A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.

Support for out-of-core sparse arrays in Julia, backed by a HDF5 file stored on disk

Quantum mechanical few body systems in Julia

Julia package for MPI reconstruction

A set of perceptron algorithms

Drawing functions for `SimpleGraphs`

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

🔵 Interface and drivers for integrating Solvers and Samplers with the JuMP/MOI ecosystem

Symmetry-allowed k ⋅ p expansions

Modular Julia-based agent framework to implement multi-agent systems

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

Scientific machine learning glacier mass balance models

Dynamic Gradients for Quantum Control