Deep Learning made easy and fast

ClimaCoupler: bringing atmosphere, land, and ocean together

Extreme value analysis package for Julia

Specialized tools for MRI

Three-dimensional panel method for low-speed aerodynamics

Accurate and fast tight-binding calculations, using pre-fit coefficients and three-body terms.

Geospatial tables compatible with the GeoStats.jl framework

Project Management tools, with a particular focus on PERT charts

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Diagnostics for Oceananigans

Analysis of Polarization and Frequency Selective Surfaces

OpenMendel package for haplotyping and imputation

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

A Julia package for working with spherical harmonic expansions

A Julia wrapper for the NVIDIA Collective Communications Library.

Neural network training, fast and easy.

Geothermal Cloud for Machine Learning

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Exploring practical possibilities of approximating functions with frames rather than with a basis

Your local Flux surgeon

Apply meaningful keys and custom behavior to indices.

Random Integrators for many-body quantum systems

Toolbox for calculating optical PSFs

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Easily smooth your data in Julia

Flux reconstruction method for advection-diffusion type physics

An open-source toolkit for entropic data analysis

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

Julia package for general many-body exact diagonalization calculation.

Generate and perturb protein structural ensembles using the ExProSE algorithm

Abstraction layer for spanning factor graphs over various technologies

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.

Package for computing pressure profiles for gas lift optimization of oil & gas wells.

Parallel tools for ITensors.jl.

Families of polynomials

Welcome to Peridynamic Laboratory (PeriLab), a powerful software solution designed for tackling Peridynamic problems.

Julia package for fast fourier transforms and periodic views

Useful Layers for Knet