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A python package for semi-automated emulation

Project description

AutoEmulate

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Simulations of physical systems are often slow and need lots of compute, which makes them unpractical for real-world applications like digital twins, or when they have to run thousands of times for sensitivity analyses. The goal of AutoEmulate is to make it easy to replace simulations with fast, accurate emulators. To do this, AutoEmulate automatically fits and compares various emulators, ranging from simple models like Radial Basis Functions and Second Order Polynomials to more complex models like Support Vector Machines and Gaussian Processes to find the best emulator for a simulation.

[!WARNING] Although AutoEmulate is currently on version 1.x, we are not following semantic versioning at the moment. The convention for V1 is that breaking and major changes will be made between minor version (1.1 -> 1.2). Bug fixes will be made in patch versions (1.1.1 -> 1.1.2). We plan to implement true semantic versioning in v2 of the package. We recommend pinning the minor version of AutoEmulate if using downstream and carefully reading release notes.

Documentation

You can find the project documentation here, including installation.

The AutoEmulate project

  • The AutoEmulate project is run out of the Alan Turing Institute.

  • Visit autoemulate.com to learn more.

  • Feel free to reach out to us at ai4physics@turing.ac.uk for queries about AutoEmulate or ideas for collaboration

  • We have also published a paper in The Journal of Open Source Software.

    Please cite this paper if you use the package in your work:

    @article{Stoffel2025, doi = {10.21105/joss.07626}, url = {https://doi.org/10.21105/joss.07626}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {107}, pages = {7626}, author = {Martin A. Stoffel and Bryan M. Li and Kalle Westerling and Sophie Arana and Max Balmus and Eric Daub and Steve Niederer}, title = {AutoEmulate: A Python package for semi-automated emulation}, journal = {Journal of Open Source Software} }
    

Contributors

Kalle Westerling
Kalle Westerling

๐Ÿ“– ๐Ÿ’ป ๐Ÿ–‹
Bryan M. Li
Bryan M. Li

๐Ÿ’ป
martin
martin

๐Ÿ’ป ๐Ÿค” ๐Ÿ“– ๐Ÿšง ๐Ÿ”ฌ ๐Ÿ‘€
Eric Daub
Eric Daub

๐Ÿค” ๐Ÿ“† ๐Ÿ‘€ ๐Ÿ’ป
steven niederer
steven niederer

๐Ÿค” ๐Ÿ–‹ ๐Ÿ“†
Maximilian Balmus
Maximilian Balmus

๐Ÿ’ป ๐Ÿ›
Sophie Arana
Sophie Arana

๐Ÿ–‹ ๐Ÿ“– ๐Ÿ“†
Andrew Duncan
Andrew Duncan

๐Ÿค” ๐Ÿ“†
Marjan Famili
Marjan Famili

๐Ÿ’ป ๐Ÿค” ๐Ÿ“– ๐Ÿ‘€
Radka Jersakova
Radka Jersakova

๐Ÿ’ป ๐Ÿ“† ๐Ÿšง ๐Ÿค” ๐Ÿ‘€
Christopher Iliffe Sprague
Christopher Iliffe Sprague

๐Ÿ’ป ๐ŸŽจ ๐Ÿค” ๐Ÿ‘€ ๐Ÿ“–
Will Usher
Will Usher

๐Ÿ’ป
Sam Greenbury
Sam Greenbury

๐Ÿ’ป ๐Ÿค” ๐Ÿ‘€ ๐Ÿ“†
Ed Chalstrey
Ed Chalstrey

๐Ÿ’ป ๐ŸŽจ ๐Ÿ‘€ ๐Ÿ“–
Edwin
Edwin

๐Ÿ’ป ๐Ÿค” ๐Ÿ‘€ ๐Ÿ“–
Paolo Conti
Paolo Conti

๐Ÿ’ป ๐Ÿค” ๐Ÿ‘€ ๐Ÿ“–
Camila Rangel Smith
Camila Rangel Smith

๐Ÿ’ป ๐Ÿ–‹
Nayara Fonseca
Nayara Fonseca

๐Ÿ“–
Jason McEwen
Jason McEwen

๐Ÿค” ๐Ÿ“†
Amir Ali
Amir Ali

๐Ÿค”
Harry Saxton
Harry Saxton

๐Ÿค”
Josh Williams
Josh Williams

๐Ÿ› ๐Ÿค”
Levan Bokeria
Levan Bokeria

๐Ÿ›
Ritkaar Singh
Ritkaar Singh

๐Ÿ“–
vchhabra-turing
vchhabra-turing

๐Ÿค”
Ethan Attwood
Ethan Attwood

๐Ÿ›
__aar0n__.py
__aar0n__.py

๐Ÿ’ป

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