A flexible toolkit for simulation based inference in Julia

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

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

Training images for geostastical simulation

Adversarial attacks for Neural Networks written with FluxML

A differentiable parametrization of a group of unitary matrices.

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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

Implementation of Integral Probability Measures in Julia

Is there anything we can't make Bayesian?

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

Experimental features for Flux.jl

Duality of view between named variables and flat vectors in Julia

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

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Graph-building for AtomicGraphNets

Geostatistical clustering methods for the GeoStats.jl framework

Sklearn Interface and Distributed Training for Flux.jl

Lightweight module of neural differential equations in Kinetic.jl

A Julia package for behavioural modeling

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

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

A high-performance library for gradient based quantum optimal control

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Linear models

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

Coordinate and Incremental Aggregated Optimization Algorithms

Variography for the GeoStats.jl framework

Optimal experimental design of ODE and DAE systems in julia

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Differentiable 2d rasterizer in Julia

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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.

Signal temporal logic (STL) formulas and robustness in Julia

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

A scatter operation library for neural network

Drill hole utilities for the GeoStats.jl framework