A turbulence-convection single column model cloud parameterization.

A Julia package for interacting with the Hugging Face dataset repository.

Interpretable Machine Learning via Rule Extraction

Neural Network based models for Natural Language Processing

Quantum dynamics simulation environment

A Julia toolbox with resampling methods to correct for class imbalance.

Simplicial sets and other combinatorial models of geometric spaces

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

NuclearToolkit.jl: Julia package for nuclear structure calculations

Neural network training, fast and easy.

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

Implementations of algebraic rewriting techniques like DPO, SPO, SqPO.

Your local Flux surgeon

A Julia package for computing processes related to plant ecophysiology and biophysics

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

A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).

SeaPearl's pool of examples

Differentiable tree-based models for tabular data

Graphical tools for Bayesian inference and posterior predictive checks

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Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

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.

Static module-like namespaces for julia

Bayesian inference on wiring diagrams.

Simple, blazing fast, transformer components.

From Semiconductor to TransistorLevel Modeling in Julia

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

Representing machine learning models using mathematical programming

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

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A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

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

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

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?