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

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Visualization for Flux.Chain neural networks

Atomic graph models for molecules and crystals in Julia

Use Optim to train Flux models and visualize loss landscapes

Distributed Data Parallel Training of Deep Neural Networks

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

A foolproof way of doing ML with GUI elements.

A Julia package for robust neural networks.

Generic UNet implementation written in pure Julia, based on Flux.jl

Machine learning with Mill.jl for JSON documents

No need to train, he's a smooth operator

Julia library for deep reinforcement learning

Import/export ONNX models

I heard you like compile times

Interface package for featurizing atomic structures

Evolve Flux networks from scratch!

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Julia package for PEPS algorithms

Clima's Land Model

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

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.

Julia Toolkit with fairness metrics and bias mitigation algorithms

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Generative Models with trainable conditional distributions in Julia!

Interpretable Machine Learning via Rule Extraction

A Julia package for interacting with the Hugging Face dataset repository.

Quantum dynamics simulation environment

A turbulence-convection single column model cloud parameterization.

Neural Network based models for Natural Language Processing

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

Learning state-space targets in dynamical systems

Pruning framework and methods for Flux

NuclearToolkit.jl: Julia package for nuclear structure calculations

Neural network training, fast and easy.

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

A Julia package for computing processes related to plant ecophysiology and biophysics

Your local Flux surgeon

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