DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

Simple, blazing fast, transformer components.

Simulating Rydberg atom dynamics with Tensor Networks

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Make turbulence with words

Representing machine learning models using mathematical programming

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

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

Reduced-space optimization, for optimal power flow.

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

Uniform interface for machine learning in Julia

A package for computing surface fluxes between the atmosphere, ocean and land models.

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

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Julia implementation of ADMM solver on multiple GPUs

Finite differences and staggered grids on CPUs and GPUs

A forward McCormick operator library

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

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

Package to simulate the thermal evolution of magmatic systems

Simple, blazing fast, message-passing graph neural network.

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Julia package for microstructure imaging

Julia implementation of TRON solver on GPUs

A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...

Differentiable JUlia ICE model

Macros to define custom adjoints for TensorOperations.jl

Adversarial attacks for Neural Networks written with FluxML

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MPS and MPO methods based on ITensor (ITensors.jl)

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

CUDA integration for the NNlib API

Modern Hopfield layer implementations in Julia

A new lightweight package for Deep Learning with Julia

Reduced basis methods for parametrised eigenproblems

A differentiable parametrization of a group of unitary matrices.

Measures (metrics) for statistics and machine learning

Fast 3D/4D Phase Unwrapping (julia source code)