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AutoCast

All Contributors Documentation

Installation

Prerequisites

  • uv: running scripts; managing virtual environments
  • ffmpeg: optional video generation during evaluation

Usage

If you'd just like to use the code in autocast:

# Clone the repo
git clone https://github.com/alan-turing-institute/autocast.git
cd autocast

# Install dependencies
uv sync

This will allow you to run uv run autocast from within the repository. The main documentation contains a tutorial on how to use autocast to train and evaluate models on a dataset of your choice.

If you want to contribute to the autocast codebase, please see the contributing section of the docs.

Ethical guidance

See ETHICAL_GUIDANCE.md for guidance on the intended scope and use of AutoCast.

Citation

@misc{greenbury-etal-2026-reliability,
      title={Reliability of Probabilistic Emulation of Physical Systems}, 
      author={Sam F. Greenbury and Radka Jersakova and Paolo Conti and Marjan Famili and Christopher Iliffe Sprague and Edwin Brown and Jason D. McEwen},
      year={2026},
      eprint={2606.12997},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2606.12997}, 
}

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Jason McEwen
Jason McEwen

🤔 📆
Radka Jersakova
Radka Jersakova

🤔 📆 💻 👀
Paolo Conti
Paolo Conti

🤔 💻 👀
Marjan Famili
Marjan Famili

🤔 💻 👀
Christopher Iliffe Sprague
Christopher Iliffe Sprague

🤔 💻 👀
Edwin
Edwin

🤔 💻 👀
Sam Greenbury
Sam Greenbury

🤔 📆 💻 👀
QC
QC

🤔 💻 🐛
Penelope Yong
Penelope Yong

🤔 💻 🐛 👀
farhanferoz
farhanferoz

🤔 💻 🐛 👀
Alejandro ©
Alejandro ©

🐛

This project follows the all-contributors specification. Contributions of any kind welcome!

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