https://github.com/tomgeorge1234/simpl
https://github.com/tomgeorge1234/simpl
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/tomgeorge1234/simpl
- Owner: TomGeorge1234
- Created: 2024-09-23T23:12:39.000Z (9 months ago)
- Default Branch: master
- Last Pushed: 2025-04-03T05:01:47.000Z (3 months ago)
- Last Synced: 2025-04-14T18:15:51.043Z (2 months ago)
- Language: Python
- Size: 12.7 MB
- Stars: 13
- Watchers: 3
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# SIMPL
> [!WARNING]
> 🚧 This is currently alpha software, undergoing active development. Some API changes are to be expected as we are work on the first stable release.
## Installation and Usage
This repository contains code for the ICLR 2025 paper "_SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour_" ([ICLR](https://openreview.net/forum?id=9kFaNwX6rv)). Specifically:
* Source code in `simpl/` for the SIMPL algorithm.
* A working example in `demos/simpl_demo.ipynb`.
To run the example you will need to install `simpl` by
1. **Clone**: `git clone https://github.com/TomGeorge1234/SIMPL.git` and navigate to the root: `cd SIMPL`
3. _(Recommended)_ Create a virtual environment (e.g. `python -m venv simpl_env` and `source simpl_env/bin/activate`).
4. **Install**: `pip install .[demo]`. This will install the `simpl` package and its dependencies.
5. **Run the demo**: `jupyter notebook demos/simpl_demo.ipynb` !
## Cite
If you use SIMPL in yoor work, please cite it as:
> Tom George, Pierre Glaser, Kim Stachenfeld, Caswell Barry, & Claudia Clopath (2025). SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour. In The Thirteenth International Conference on Learning Representations.
```
@inproceedings{
george2025simpl,
title={{SIMPL}: Scalable and hassle-free optimisation of neural representations from behaviour},
author={Tom George and Pierre Glaser and Kim Stachenfeld and Caswell Barry and Claudia Clopath},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=9kFaNwX6rv}
}
```