DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Julia package for PEPS algorithms

A simulation engine for models related to plants

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Optimally tuned ridge regression when features can be partitioned into groups.

Julia package for microstructure imaging

Differentiable RayTracing in Julia

Interpretable Machine Learning via Rule Extraction

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

A Julia wrapper for TensorFlow

Forked Successor to github.com/JuliaFolds/FLoops.jl

Neural network training, fast and easy.

Computational models of algorithmic competition

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Explores representations based on bag words

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

An adapter package that implements Lighthouse's framework interface for Flux

Differentiable JUlia ICE model

A Julia toolbox with resampling methods to correct for class imbalance.

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

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Geometric Deep Learning for Flux

Pure Julia implementation of tools used in Coding Theory

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

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

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

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

MagNav: airborne Magnetic anomaly Navigation

Utility package for accessing common Machine Learning datasets in Julia

Machine learning with Mill.jl for JSON documents

Utilities and abstractions for Machine Learning tasks

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

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

Representing machine learning models using mathematical programming

Global glacier model using Universal Differential Equations for climate-glacier interactions

Discrete choice/random utility models in Julia

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

A Julia package for people that love to learn new things about constraints