A Julia wrapper for TensorFlow

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Repository of best practices for deep learning in Julia, inspired by fastai

Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

Geometric Deep Learning for Flux

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Automatic Differentiation Library for Computational and Mathematical Engineering

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Julia module for reading MATLAB files

Saving and loading julia variables while preserving native types

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Utility package for accessing common Machine Learning datasets in Julia

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Finite Element tools in Julia

Package for Simulation, Tomography and Analysis of Quantum Computers

Fermi quantum chemistry program

Climate science package for Julia

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

MagNav: airborne Magnetic anomaly Navigation

MADS: Model Analysis & Decision Support

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

CliMA model dycore

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

An Extensible Test Matrix Collection for Julia

Inference of microbial interaction networks from large-scale heterogeneous abundance data

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Restricted Boltzmann Machines in Julia

Global glacier model using Universal Differential Equations for climate-glacier interactions

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Darcy flow and reservoir simulator based on Jutul.jl

High-level, high-performance, constraint-based reconstruction and analysis in Julia

Nonlinear optical pulse propagator

Tropical tensor network for spin glasses

Checkpointing for Automatic Differentiation

Ambient Noise Cross-Correlation in Julia

Neuroimaging in Julia