Three-dimensional panel method for low-speed aerodynamics

Geospatial tables compatible with the GeoStats.jl framework

Neural network training, fast and easy.

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

Julia Package for Financial Monte Carlo Simulations

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.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Conditional probability distributions powered by DistributionsAD.jl

Differentiable tree-based models for tabular data

Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)

SeaPearl's pool of examples

The Julia implementation of the generalised hierarchical Gaussian filter

Load/save geospatial data compatible with the GeoStats.jl framework

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

Flexible photometric transit curves with limb darkening

Implementation of domain specific language (DSL) for probabilistic graphical models

Lazy, structured, and efficient operations with kernel matrices.

Easily optimize generic performance metrics in differentiable learning.

General Relativistic Orbital Dynamics in Julia

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Simple, blazing fast, transformer components.

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

From Semiconductor to TransistorLevel Modeling in Julia

Nonlinear regression in Julia

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

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

Representing machine learning models using mathematical programming

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

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

Kriging estimators for the GeoStats.jl framework

Numerical integration over Meshes.jl geometry domains

Some convenient hacks when using Nonconvex.jl.

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

Nevanlinna analytic continuation

A flexible toolkit for simulation based inference in Julia

Adversarial attacks for Neural Networks written with FluxML