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

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

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

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

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

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

Julia package for microstructure imaging

Differentiable JUlia ICE model

Adversarial attacks for Neural Networks written with FluxML

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

Measures (metrics) for statistics and machine learning

Modern Hopfield layer implementations in Julia

A differentiable parametrization of a group of unitary matrices.

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

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

Experimental features for Flux.jl

Implementation of Integral Probability Measures in Julia

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

Graph-building for AtomicGraphNets

Sklearn Interface and Distributed Training for Flux.jl

Collection of layers that can perform arithmetic operations

Lightweight module of neural differential equations in Kinetic.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

A high-performance library for gradient based quantum optimal control

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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.

A package for wrapping iterative MLJ models in a control strategy

Linear models

Differentiable 2d rasterizer in Julia

MLJ.jl interface for JLBoost.jl

MLJ.jl interface for JLBoost.jl

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Connecting MLJ and MLFlow

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DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

Neural-Network Outlier Detection Algorithms for Julia

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