psaegert/simplipy-assets
simplipy assets Rule sets and engine configurations for simplipy, a fast, contract-sound simplification engine for symbolic mathematical expressions. The engine and these rule sets are described in: Saegert & Köthe 2026, Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression (ICML 2026), arXiv:2602.08885. Install an engine by name (downloads this repository's files on first use): pip install simplipy import simplipy as sp engine =… See the full description on the dataset page: https://huggingface.co/datasets/psaegert/simplipy-assets.
| Author / organization | psaegert |
|---|---|
| License (as declared) | mit |
| Downloads | 20.5K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 September 2025 |
| Last updated at source | 29 August 2026 |
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