Resources

Access a growing library of premium Julia resources for free

Log in / Sign Up
Webinar

Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim

November 2, 2022 | Dr. Fredrik Bagge Carlson, Dr. Avinash Subramanian

Webinar

Building Digital Twins with JuliaSim

October 18, 2022 | Dr. Raj Abhijit Dandekar

Webinar

Welcome to JuliaSim: An Introduction

July 19, 2022 | Dr. Chris Rackauckas

Webinar

SIMD in Julia

March 24, 2022 | Kristoffer Carlsson

Webinar

End-to-End Machine Learning Workflow Using Julia

February 17, 2022 | Jeremie Bouchard

Webinar

Performance Benchmarking in Julia

November 30, 2021 | Jameson Nash

Webinar

GPU Programming In Julia

August 26, 2021 | Dr. Tim Besard

Webinar

PackageCompiler and Static Compilation in Julia

August 17, 2021 | Kristoffer Carlsson

Webinar

Pluto Notebook Support on JuliaHub

July 15, 2021 | Dr. Matt Bauman

Webinar

Machine Learning with Multi-GPU Training

June 23, 2021 | Dr. Matt Bauman

Webinar

Parallel Computing for Enterprises in Julia

May 20, 2021 | Prof. Alan Edelman

Webinar

Deployment of Models and Apps in Julia

Apr 23, 2021 | Dr. Matt Bauman

Webinar

Pumas 2.0 Features: Censored and Truncated Data Models

Apr 20, 2021 | Dr. Andreas Noack, Dr. Patrick Kofod Mogensen

Webinar

Pumas 2.0 Features: FOCE Analysis of Discrete Data Models

Apr 8, 2021 | Dr. Andreas Noack, Mohamed Tarek

Webinar

Pumas 2.0 Features: Beyond Gaussian Random Effects

Mar 30, 2021 | Mohamed Tarek, Dr. Andreas Noack

Webinar

Parallelizing Data Science with Julia

Mar 17, 2021 | Dr. Elliot Saba

Webinar

Pumas 2.0 Features: Koopman Expectation

Mar 16, 2021 | Dr. Christopher Rackauckas, Vaibhav Dixit

Webinar

JuliaHub Demo

Jan 4, 2021 | Dr. Matt Bauman

Webinar

JuliaHub Tutorial

Jan 4, 2021 | Dr. Matt Bauman

Webinar

Feel the Power - Julia for Energy

jul 16, 2020 | Dr. Matt Bauman

Webinar

Scientific Machine Learning for Enterprises

feb 25, 2020 | Dr. Chris Rackauckas

Publication

Capturing Missing Physics in Climate Model Parameterizations Using Neural Differential Equations

October 2022Ali Ramadhan, John C Marshall, Andre Nogueira Souza, Xin Kai Lee, Ulyana Piterbarg, Adeline Hillier, Gregory LeClaire Wagner, Christopher Rackauckas, Chris Hill, Jean-Michel Campin, Raffaele Ferrari

Publication

Automatic Differentiation of Programs with Discrete Randomness

October 2022Gaurav Arya, Moritz Schauer, Frank Schäfer, Chris Rackauckas

Publication

GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia

August 2022Vaibhav Kumar Dixit, Christopher Rackauckas

Publication

Catalyst: Fast Biochemical Modeling with Julia

August 2022Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson

Publication

Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations

July 2022Utkarsh, Chris Elrod, Yingbo Ma, Christopher Rackauckas

Publication

Differential Methods for Assessing Sensitivity in Biological Models

June 2022Rachel Mester, Alfonso Landeros, Chris Rackauckas, Kenneth Lange

Publication

Plots.jl -- A User Extendable Plotting API for the Julia Programming Language

April 2022Simon Christ, Daniel Schwabeneder, Christopher Rackauckas

Publication

ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models

April 2022Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora

Publication

Accelerating Advances in Landscape Connectivity Modeling with the ConScape Library

April 2022Bram Van Moorter, Ilkka Kivimäki, Andreas Noack, Robin Devooght, Manuela Panzacchi, Kimberly R. Hall, Pierre Leleux, Marco Saerens

Publication

Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs)

February 2022Avik Pal, Alan Edelman, Christopher Rackauckas

Publication

Symbolic-Numeric Integration of Univariate Expressions Based on Sparse Regression

February 2022Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas

Publication

Two Heads Are Better Than One: Current Landscape of Integrating QSP and Machine Learning

February 2022Tongli Zhang, Ioannis P. Androulakis, Peter Bonate, Limei Cheng, Tomáš Helikar, Jaimit Parikh, Christopher Rackauckas, Kalyanasundaram Subramanian & Carolyn R. Cho

Publication

Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components

January 2022Ranjan Anantharaman, Anas Abdelrehim, Francesco Martinuzzi, Sharan Yalburgi, Elliot Saba, Keno Fischer, Glen Hertz, Pepijn de Vos, Chris Laughman, Yingbo Ma, Viral Shah, Alan Edelman, Chris Rackauckas

Publication

Automated Code Optimization with E-Graphs

December 2021Alessandro Cheli, Christopher Rackauckas

Publication

Differentiable State Space Models and Hamiltonian Monte Carlo Estimation

December 2021David Childers, Jesus Fernandez-Villaverde, Jesse Perla, Cameron Pfiffer, Christopher Rackauckas, Peifan Wu

Publication

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions

December 2021Yingbo Ma, Vaibhav Dixit, Michael J Innes, Xingjian Guo, Chris Rackauckas

Publication

Data-Efficient Training with Physics-Enhanced Deep Surrogates

November 2021Raphael Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

Publication

Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES–III)

November 2021Venkatasubramanian Viswanathan, Varun Shankar, Gavin D Portwood, Arvind T Mohan, Peetak P Mitra, Dilip Krishnamurthy, Christopher Rackauckas, Lucas A Wilson, David P Schmidt

Publication

Generalized Physics-Informed Learning Through Language-Wide Differentiable Programming

November 2021Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B Shah, Will Tebbutt

Publication

Physics-Enhanced Deep Surrogates for PDEs

November 2021Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

Publication

Differential Methods for Assessing Sensitivity in Biological Models

November 2021Mester R, Landeros A, Rackauckas C, Lange K

Publication

Stably Accelerating Stiff Quantitative Systems Pharmacology Models: Continuous-Time Echo State Networks as Implicit Machine Learning

October 2021Ranjan Anantharaman, Anas Abdelrehim, Anand Jain, Avik Pal, Danny Sharp, Utkarsh Utkarsh, Christopher Vincent Rackauckas

Publication

Validation and Parameterization of a Novel Physics-Constrained Neural Dynamics Model Applied to Turbulent Fluid Flow

October 2021Varun Shankar, Gavin D. Portwood, Arvind T. Mohan, Peetak P. Mitra, Dilip Krishnamurthy, Christopher Rackauckas, Lucas A. Wilson, David P. Schmidt, and Venkatasubramanian Viswanathan

Publication

Hybrid Mechanistic + Neural Model of Laboratory Helicopter

September 2021Christopher Rackauckas, Roshan Sharma, Bernt Lie

Publication

Julia for Biologists

September 2021Elisabeth Roesch, Joe G Greener, Adam L MacLean, Huda Nassar, Christopher Rackauckas, Timothy E Holy, Michael PH Stumpf

Publication

AbstractDifferentiation. jl: Backend-Agnostic Differentiable Programming in Julia

September 2021Frank Schäfer, Mohamed Tarek, Lyndon White, Chris Rackauckas

Publication

Collocation Based Training of Neural Ordinary Differential Equations

July 2021Elisabeth Roesch, Christopher Rackauckas, Michael PH Stumpf

Publication

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations

July 2021Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Chris Rackauckas

Publication

A Campus Simulation Model Supporting the Safe Blues Experiment

May 2021Thomas Graham, Azam Asanjarani, Shane G. Henderson, Yoni Nazarathy, Keng Chew, Marijn Jansen, Christopher Rackauckas, Kirsty Short, Peter G Taylor, Aapeli Vuorinen, Ilze Ziedins

Publication

High-Performance Symbolic-Numerics via Multiple Dispatch

May 2021Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwozdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas

Publication

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics

May 2021Avik Pal, Yingbo Ma, Viral Shah, Christopher Rackauckas

Publication

Composing Modeling and Simulation with Machine Learning in Julia

May 2021Chris Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwozdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah

Publication

Accelerating Simulation of Stiff Nonlinear Systems Using Continuous-Time Echo State Networks

March 2021Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral Shah, Alan Edelman, Chris Rackauckas

Publication

ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling

March 2021Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral Shah, Chris Rackauckas

Publication

Stiff Neural Ordinary Differential Equations

March 2021Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas

Publication

Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment

March 2021Kimberly R. Hall, Ranjan Anantharaman, Vincent A. Landau, Melissa Clark, Brett G. Dickson, Aaron Jones, Jim Platt, Alan Edelman and Viral B. Shah

Publication

Safe Blues: The Case for Virtual Safe Virus Spread in the Long-Term Fight Against Epidemics

March 2021Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen

Publication

Forecasting Virus Outbreaks With Social Media Data via Neural Ordinary Differential Equations

January 2021Matías Núñez, Nadia L. Barreiro, Rafael A. Barrio, Christopher Rackauckas

Publication

Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas

January 2021Chris Rackauckas, Vaibhav Dixit, Adam R. Gerlach, Vijay Ivaturi

Publication

Omniscape.jl: Software to Compute Omnidirectional Landscape Connectivity

January 2021Vincent A. Landau, Viral B. Shah, Ranjan Anantharaman, Kimberly R. Hall4

Publication

Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA

December 2020Raj Dandekar, Emma Wang, George Barbastathis, Chris Rackauckas

Publication

Learning Non-Linear Spatio-Temporal Dynamics with Convolutional Neural ODEs

December 2020Varun Shankar, Gavin D. Portwood, Arvind T. Mohan, Peetak P. Mitra, Christopher Rackauckas, Lucas A. Wilson, David P. Schmidt, Venkatasubramanian Viswanathan

Publication

Bayesian Neural Ordinary Differential Equations

December 2020Raj Dandekar, Karen Chung, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Krishna Vishal Vemula, Chris Rackauckas

Publication

ACED: Accelerated Computational Electrochemical Systems Discovery

November 2020Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral Shah, Venkatasubramanian Viswanathan

Publication

Accelerated Predictive Healthcare Analytics with Pumas, a High Performance Pharmaceutical Modeling and Simulation Platform

November 2020Chris Rackauckas, Yingbo Ma, Andreas Noack, Vaibhav Dixit, Patrick Kofod Mogensen, Simon Byrne, Shubham Maddhashiya, José Bayoán Santiago Calderón, Joakim Nyberg, Jogarao V.S. Gobburu, Vijay Ivaturi

Publication

Capturing Missing Physics in Climate Model Parameterizations Using Neural Differential Equations

October 2020Ali Ramadhan, John Marshall, Andre Souza, Gregory LeClaire Wagner, Manvitha Ponnapati, Christopher Rackauckas

Publication

World Age in Julia: Optimizing Method Dispatch in the Presence of Eval (Extended Version)

October 2020Julia Belyakova, Benjamin Chung, Jack Gelinas, Jameson Nash, Ross Tate, Jan Vitek

Publication

Uncertainty Quantification of Ocean Parameterizations: Application to the K-Profile-Parameterization for Penetrative Convection

October 2020Andre Nogueira Souza, Gregory LeClaire Wagner, Ali Ramadhan, Valentin Churavy, Brandon Allen, James Schloss, Jean-Michel Campin, Chris Hill, Alan Edelman, John Marshall, Glenn R. Flierl, Raffaele Ferrari

Publication

Beyond Deterministic Models in Drug Discovery and Development

October 2020Itziar Irurzun-Arana, Christopher Rackauckas, Thomas O McDonald, Iñaki F Trocóniz

Publication

Accelerating Simulation of Stiff Nonlinear Systems Using Continuous-Time Echo State Networks

October 2020Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral Shah, Alan Edelman, Chris Rackauckas

Publication

Oceananigans.jl: Fast and Friendly Geophysical Fluid Dynamics on GPUs

September 2020Ali Ramadhan, Gregory LeClaire Wagner, Chris Hill, Jean-Michel Campin, Valentin Churavy, Tim Besard, Andre Souza, Alan Edelman, Raffaele Ferrari, John Marshall

Publication

Hybrid Mechanistic + Neural Model of Laboratory Helicopter

September 2020Christopher Rackauckas, Roshan Sharma, Bernt Lie

Publication

The Koopman Expectation: An Operator Theoretic Method for Efficient Analysis and Optimization of Uncertain Hybrid Dynamical Systems

August 2020Adam R. Gerlach, Andrew Leonard, Jonathan Rogers, Chris Rackauckas

Publication

Interoperating Deep Learning Models with ONNX.jl

August 2020Ayush Shridhar, Phil Tomson, Mike Innes

Publication

Signal Enhancement for Magnetic Navigation Challenge Problem

July 2020Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas

Publication

StochasticDelayDiffEq.jl - An Integrator Interface for Stochastic Delay Differential Equations in Julia

July 2020Henrik T Sykora, Christopher V. Rackauckas, David Widmann, Daniel Bachrathy

Publication

A Multi-Control Climate Policy Process for a Trusted Decision Maker

May 2020Henri F. Drake , Ronald L. Rivest, John Deutch, Alan Edelman

Publication

Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19

May 2020Raj Dandekar, Shane G. Henderson, Marijn Jansen, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen

Publication

Generalized Physics-Informed Learning Through Language-Wide Differentiable Programming

March 2020Chris Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt

Publication

WordTokenizers.jl: Basic Tools for Tokenizing Natural Language in Julia

February 2020Ayush Kaushal, Lyndon White, Mike Innes, Rohit Kumar

Publication

Universal Differential Equations for Scientific Machine Learning

January 2020Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Ramadhan, Alan Edelman

Publication

Basic Threading Examples in JuliaLang v1.3

Dec 2019Jameson Nash, Jeff Bezanson and Kiran Pamnany

Publication

Highly-Scalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs

October 2019Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis

Publication

Sparsity Programming: Automated Sparsity-Aware Optimizations in Differentiable Programming

September 2019Shashi Gowda, Yingbo Ma, Valentin Churavy, Alan Edelman, Christopher Rackauckas

Publication

Differentiation of High-Level Language Semantics

September 2019Michael Innes

Publication

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing

July 2019Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckas, Elliot Saba, Viral B Shah, Will Tebbutt

Publication

Rapid Software Prototyping for Heterogeneous and Distributed Platforms

June 2019Tim Besard, Valentin Churavy, Alan Edelman, Bjorn De Sutter

Publication

Julia e Flux: Modernizando o Aprendizado de Máquina

Dec 2019Dhairya Gandhi, Mike Innes, Elliot Saba, Keno Fischer, Viral Shah

Publication

DiffEqFlux.jl - A Julia Library for Neural Differential Equations

Feburary 2019Chris Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit

Publication

Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions

January 2019Ranjan Anantharaman, Kimberly Hall, Viral Shah, Alan Edelman

Publication

Cataloging the Visible Universe through Bayesian Inference in Julia at Petascale

January 2019Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin Thomas, Prabhat

Publication

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions

December 2018Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi

Publication

Circuit-Theory Applications to Connectivity Science and Conservation

November 2018Brett G Dickson, Christine M Albano, Ranjan Anantharaman, Paul Beier, Joe Fargione, Tabitha A Graves, Miranda E Gray, Kimberly R Hall, Josh J Lawler, Paul B Leonard, Caitlin E Littlefield, Meredith L McClure, John Novembre, Carrie A Schloss, Nathan H Schumaker, Viral B Shah, David M Theobald

Publication

Fashionable Modelling with Flux

November 2018Michael J Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal and Viral Shah

Publication

Julia: Dynamism and Performance Reconciled by Design

November 2018Jeff Bezanson, Jiahao Chen, Benjamin Chung, Stefan Karpinski, Viral B. Shah, Jan Vitek and Lionel Zoubritzky

Publication

Julia Subtyping: A Rational Reconstruction

November 2018Francesco Zappa Nardelli, Julia Belyakova, Artem Pelenitsyn, Benjamin Chung, Jeff Bezanson and Jan Vitek

Publication

Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs

October 2018Keno Fischer and Elliot Saba

Publication

Interdisciplinary Case Study: How Mathematicians and Biologists Found Order in Cellular Noise

October 2018Christopher Rackauckas, Thomas Schilling, Qing Nie

Publication

Don't Unroll Adjoint: Differentiating SSA-Form Programs

October 2018Michael J Innes

Publication

Fast Flexible Function Dispatch in Julia

August 2018Jeff Bezanson, Jake Bolewski, Jiahao Chen

Publication

Fast Computation of the Principal Components of Genotype Matrices in Julia

August 2018Jiahao Chen, Andreas Noack, Alan Edelman

Publication

Flux: Elegant Machine Learning with Julia

May 2018Mike Innes

Publication

Mean-Independent Noise Control of Cell Fates via Intermediate States

May 2018Christopher Rackauckas, Thomas Schilling, Qing Nie

Publication

On Machine Learning and Programming Languages

February 2018Mike Innes, Stefan Karpinski, Viral Shah, James Bradbury, David Barber, Pontus Stenetorp, Valentin Churavy, Simon Danisch, Alan Edelman, Jon Malmaud, Jarrett Revels, Tim Besard, Deniz Yuret

Publication

Julia: A Fresh Approach to Numerical Computing

February 2017Jeff Bezanson, Alan Edelman, Stefan Karpinski and Viral B. Shah

Publication

Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia

December 2016Alexander Amini, Berthold Horn, Alan Edelman

Publication

Vive La Difference!

November 2016Peter Farley, Michael Aichinger, Andreas Binder, Steve Wilcockson, Viral Shah, Simon Byrne, Sachvir Cheema, James Church

Publication

GFLOW: Software for Modelling Circuit Theory-Based Connectivity at any Scale

November 2016Paul B. Leonard, Edward B. Duffy, Robert F. Baldwin, Brad H. McRae, Viral B. Shah, Tanmay K. Mohapatra

Publication

Julia Implementation of the Dynamic Distributed Dimensional Data Model

August 2016Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison

Publication

Julia Introduction

October 2015Alan Edelman

Publication

Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof

November 2014Jiahao Chen and Alan Edelman

Publication

Array Operators Using Multiple Dispatch: A Design Methodology for Array Implementations in Dynamic Languages

February 2014Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral Shah and Alan Edelman

Publication

Novel Algebras for Advanced Analytics in Julia

November 2013Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner

Publication

Julia: A Fast Dynamic Language for Technical Computing

September 2012Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman

White Paper

Benchmarking Julia Against Python

Dec 2019

White Paper

Julia with KDB

Jan 2020

White Paper

Julia Over Scala

Feb 2020