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.

A generic FEM solver by meta-expressions

Simulating Rydberg atom dynamics with Tensor Networks

Memory efficient one-hot array encodings

📊 A Julia package that summarises tabular data in the REPL

Simple, blazing fast, transformer components.

Nonlinear regression in Julia

GPT-3 as a generative function in Gen.

Methods for profile likelihood analysis.

A Julia wrapper for cusolverRF

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Simulators for kite power systems

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Diffusion MRI Simulation Toolbox in Julia

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Core interface to design, solve, and simulate trajectory games.

Low Inertia Transient Simulation Toolbox for Power Systems

Make turbulence with words

High Oscillatory Ordinary Differential Equation Solver in Julia

Representing machine learning models using mathematical programming

Uniform interface for machine learning in Julia

Working efficiently with datasets where observations have associated uncertainties.

Core methods and structures for neuroscience research in Julia.

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Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.

Dynamical models used within astrodynamics and orbital mechanics!

Julia implementation of ADMM solver on multiple GPUs

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

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Reduce several arbitrary-connectivity optimization problems into maximum independent set problems on a grid

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations

Numerical integration over Meshes.jl geometry domains

Some convenient hacks when using Nonconvex.jl.