Generative Models with trainable conditional distributions in Julia!

Auto differentiation over linear algebras (a Zygote extension)

Fast image encryption and decryption algorithms in Julia!

A turbulence-convection single column model cloud parameterization.

DPFEHM: A Differentiable Subsurface Flow Simulator

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

Neural Network based models for Natural Language Processing

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

A differentiable simulator for robotic systems.

General purpose animations via iterated function systems

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Differential equations on manifolds

A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia

Pruning framework and methods for Flux

Improved susceptibility weighted imaging using multi-echo aquisitions

Solvers for the Eikonal equation

A unified interface for simulating and evaluating sequential sampling models in Julia.

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Learning state-space targets in dynamical systems

🌎 Tools for realistic regional-to-global ocean simulations, and coupled ocean + sea-ice simulations based on Oceananigans and ClimaSeaIce. Basis for the ocean and sea-ice component of CliMA's Earth system model.

Astronomical coordinate systems in Julia

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A set of tools to quickly generate and visualize autonomous driving scenarios for Algames.jl.

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Base package for the GeoStats.jl framework

Complex phase portraits for Julia.

Specialized tools for MRI

Geospatial tables compatible with the GeoStats.jl framework

Three-dimensional panel method for low-speed aerodynamics

Diagnostics for Oceananigans

Geothermal Cloud for Machine Learning

Neural network training, fast and easy.

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

Rigid body dynamics simulation using maximal coordinates.

Your local Flux surgeon

Julia Package for Financial Monte Carlo Simulations

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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.