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.
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