psaegert/

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.