Pruning framework and methods for Flux

NuclearToolkit.jl: Julia package for nuclear structure calculations

@yield-based syntax for iterating over collections—foldl for humans™

Common types and interfaces for probabilistic programming

Neural network training, fast and easy.

Analysis of Polarization and Frequency Selective Surfaces

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

Your local Flux surgeon

Random Integrators for many-body quantum systems

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.

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

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

The Julia implementation of the generalised hierarchical Gaussian filter

Parallel tools for ITensors.jl.

Lazy, parallelizable and composable group-by operations

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

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High performance encoding and decoding of BSON data in Julia

Graphical tools for Bayesian inference and posterior predictive checks

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

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

A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.

Easily optimize generic performance metrics in differentiable learning.

Lazy, structured, and efficient operations with kernel matrices.

Simple, blazing fast, transformer components.

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Utilities for characterizing sources in astronomical images.

From Semiconductor to TransistorLevel Modeling in Julia

Julia package for using Jags as an external program

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

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

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

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