Adversarial attacks for Neural Networks written with FluxML

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

Julia package for microstructure imaging

Test particle tracing in electromagnetic field

Estimation for sharp regression discontinuity designs.

A flexible toolkit for simulation based inference in Julia

A new lightweight package for Deep Learning with Julia

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Modern Hopfield layer implementations in Julia

A differentiable parametrization of a group of unitary matrices.

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

Implementation of Integral Probability Measures in Julia

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

Experimental features for Flux.jl

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

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

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

Collection of layers that can perform arithmetic operations

Sklearn Interface and Distributed Training for Flux.jl

Graph-building for AtomicGraphNets

Geostatistical clustering methods for the GeoStats.jl framework

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Lightweight module of neural differential equations in Kinetic.jl

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

A high-performance library for gradient based quantum optimal control

A Julia package for behavioural modeling

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

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

Optimal experimental design of ODE and DAE systems in julia

Differentiable 2d rasterizer in Julia

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Linear models

Better Radial velocities from Stellar Spectroscopy via Machine Learning

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

Variography for the GeoStats.jl framework

LearningHorse.jl is the ML library for JuliaLang.

A scatter operation library for neural network

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

Drill hole utilities for the GeoStats.jl framework