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

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

SeaPearl's pool of examples

Differentiable tree-based models for tabular data

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

-

Lazy, structured, and efficient operations with kernel matrices.

Easily optimize generic performance metrics in differentiable learning.

Simple, blazing fast, transformer components.

From Semiconductor to TransistorLevel Modeling in Julia

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

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

-

Representing machine learning models using mathematical programming

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

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

A simulation engine for models related to plants

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Differentiable JUlia ICE model

Adversarial attacks for Neural Networks written with FluxML

Julia package for microstructure imaging

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

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

-

A differentiable parametrization of a group of unitary matrices.

Measures (metrics) for statistics and machine learning

Modern Hopfield layer implementations in Julia

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

Implementation of Integral Probability Measures in Julia

Discrete choice/random utility models in Julia

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

Experimental features for Flux.jl

A package for dynamically checkpointing program state

Collection of layers that can perform arithmetic operations

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

Sklearn Interface and Distributed Training for Flux.jl

Graph-building for AtomicGraphNets