Differentiable JUlia ICE model

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

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

A flexible toolkit for simulation based inference in Julia

A simulation engine for models related to plants

Measures (metrics) for statistics and machine learning

A differentiable parametrization of a group of unitary matrices.

A Julia package for Differential Evolution MCMC

Modern Hopfield layer implementations in Julia

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Experimental features for Flux.jl

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

Simulations of cosmological scalar fields

Julia implementation of elliptical slice sampling.

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

Implementation of Integral Probability Measures in Julia

Discrete choice/random utility models in Julia

Is there anything we can't make Bayesian?

Thermodynamic Integration for Turing models and more

Collection of layers that can perform arithmetic operations

Graph-building for AtomicGraphNets

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

Sklearn Interface and Distributed Training for Flux.jl

Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

Lightweight module of neural differential equations in Kinetic.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

A Julia package for behavioural modeling

Static site generation with Pluto, WIP

Implementation of Arxiv:2212.08549 in Julia

A high-performance library for gradient based quantum optimal control

Linear models

A library for arithmetic and algebra with multi-variable polynomials.

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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.

Differentiable 2d rasterizer in Julia

Variography for the GeoStats.jl framework

A package for wrapping iterative MLJ models in a control strategy

Useful sparse codes

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.