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

Adversarial attacks for Neural Networks written with FluxML

Test particle tracing in electromagnetic field

Differentiable JUlia ICE model

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

A new lightweight package for Deep Learning with Julia

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

-

A differentiable parametrization of a group of unitary matrices.

Modern Hopfield layer implementations in Julia

Implementation of Integral Probability Measures in Julia

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

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Collection of layers that can perform arithmetic operations

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

Geostatistical clustering methods for the GeoStats.jl framework

-

A Julia package for behavioural modeling

Lightweight module of neural differential equations in Kinetic.jl

Methods for the manipulation of geometric data, grid generation, and visualization formatting.

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

A high-performance library for gradient based quantum optimal control

Optimal experimental design of ODE and DAE systems in julia

Variography for the GeoStats.jl framework

Differentiable 2d rasterizer in Julia

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.

Coordinate and Incremental Aggregated Optimization Algorithms

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Linear models

A tool for the combination and EFT interpretation of measurements in Julia

-

Signal temporal logic (STL) formulas and robustness in Julia

Drill hole utilities for the GeoStats.jl framework

HorseML.jl is the ML library for JuliaLang.

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

A scatter operation library for neural network