A forward McCormick operator library

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

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

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

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

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

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

Differentiable JUlia ICE model

Adversarial attacks for Neural Networks written with FluxML

Julia package for microstructure imaging

Modern Hopfield layer implementations in Julia

A differentiable parametrization of a group of unitary matrices.

Train a spiking recurrent neural network

Measures (metrics) for statistics and machine learning

CUDA integration for the NNlib API

Julia package with several functions to train and analyze Autoencoder-based neural networks

Experimental features for Flux.jl

Implementation of Integral Probability Measures in Julia

Adaptive stress testing of black-box systems within POMDPs.jl

Discrete choice/random utility models in Julia

Protein ribbon plots implemented in Julia using Makie

Text preprocessing library with framework for composable tokenizations

Collection of layers that can perform arithmetic operations

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Building and using pyramids for large raster data

Graph-building for AtomicGraphNets

Sklearn Interface and Distributed Training for Flux.jl

A Julia package for behavioural modeling

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Lightweight module of neural differential equations in Kinetic.jl

A high-performance library for gradient based quantum optimal control

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Particle-in-Cell advection

A package for wrapping iterative MLJ models in a control strategy

Differentiable 2d rasterizer in Julia

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TreeKnit is a package that infers Ancestral Reassortment Graphs for segmented genomes (typically, human influenza).

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

Optimal experimental design of ODE and DAE systems in julia

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