Some convenient hacks when using Nonconvex.jl.

Kriging estimators for the GeoStats.jl framework

Numerical integration over Meshes.jl geometry domains

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

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

Julia package for microstructure imaging

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

Adversarial attacks for Neural Networks written with FluxML

Estimation for sharp regression discontinuity designs.

A flexible toolkit for simulation based inference in Julia

Test particle tracing in electromagnetic field

Differentiable JUlia ICE model

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

Nevanlinna analytic continuation

Training images for geostastical simulation

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A differentiable parametrization of a group of unitary matrices.

Modern Hopfield layer implementations in Julia

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

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

Experimental features for Flux.jl

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

Implementation of Integral Probability Measures in Julia

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Geostatistical clustering methods for the GeoStats.jl framework

Sklearn Interface and Distributed Training for Flux.jl

Collection of layers that can perform arithmetic operations

Graph-building for AtomicGraphNets

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

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

Lightweight module of neural differential equations in Kinetic.jl

A high-performance library for gradient based quantum optimal control

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Linear models

Optimal experimental design of ODE and DAE systems in julia

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Coordinate and Incremental Aggregated Optimization Algorithms

Optional argument checks allow you to omit them when performance is critical.