Evolve Flux networks from scratch!

Interface package for featurizing atomic structures

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

Clima's Land Model

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.

Generative Models with trainable conditional distributions in Julia!

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

Neural Network based models for Natural Language Processing

A turbulence-convection single column model cloud parameterization.

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

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

Neural network training, fast and easy.

Your local Flux surgeon

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

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

Differentiable tree-based models for tabular data

SeaPearl's pool of examples

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

Easily optimize generic performance metrics in differentiable learning.

Lazy, structured, and efficient operations with kernel matrices.

Simple, blazing fast, transformer components.

From Semiconductor to TransistorLevel Modeling in Julia

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

Representing machine learning models using mathematical programming

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

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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

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.

Modern Hopfield layer implementations in Julia

A differentiable parametrization of a group of unitary matrices.

Implementation of Integral Probability Measures in Julia

Experimental features for Flux.jl

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

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