Neural network training, fast and easy.

Random Integrators for many-body quantum systems

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

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

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

Differentiable tree-based models for tabular data

Parallel tools for ITensors.jl.

The Julia implementation of the generalised hierarchical Gaussian filter

Lazy, parallelizable and composable group-by operations

SeaPearl's pool of examples

Graphical tools for Bayesian inference and posterior predictive checks

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

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

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High performance encoding and decoding of BSON data in Julia

Easily optimize generic performance metrics in differentiable learning.

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

Lazy, structured, and efficient operations with kernel matrices.

Utilities for characterizing sources in astronomical images.

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

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

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Representing machine learning models using mathematical programming

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

Julia package for using Jags as an external program

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

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

Julia package for microstructure imaging

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

Adversarial attacks for Neural Networks written with FluxML

Status: Technical Preview