Automatic parametric modeling with symbolic regression
python machine-learning symbolic-regression curve-fitting high-energy-physics nonlinear-optimization lmfit parametric-modelling uncertainty-estimations pysr
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Aug 31, 2026 - Python
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pysr
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Repository dedicated to the inference of physical laws from synthetic data using Symbolic Regression (SR) and Genetic Algorithms.
python benchmarking reproducible-research pytorch symbolic-regression computational-physics scientific-machine-learning pysindy gplearn equation-discovery pysr
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May 3, 2026 - Python
A mathematical relation of the temperature, radius and luminosity with the Absolute Magnitude of a given star is derived using PySR library. Instead of building deep neural networks or complex ML algorithms, PySR simply tries to built mathematical expressions that best describe the relationship between variables in a dataset.
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May 2, 2024 - Jupyter Notebook
MCP server for symbolic regression — discover formulas from data, simplify expressions, check equivalence
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Jul 25, 2026 - Python
AI4S Agent independently reconstructing 14 organic-chemistry propositions motivated by Zhong-Heng Yu’s monograph, with reproducible evidence and ML generalization.
reproducible-research computational-chemistry symbolic-regression quantum-chemistry conjugation mace organic-chemistry electronic-structure scientific-machine-learning aromaticity ai-for-science nequip pysr ai4s localized-molecular-orbitals energy-decomposition-analysis
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Sep 2, 2026 - Python
Symbolic regression vs MLP on Kepler’s Third Law: a Law-Discovery Machine (LDM) using PySR. (Has Paper with it)
machine-learning symbolic-regression scientific-computing data-driven-discovery physics-informed-ml pysr
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Nov 16, 2025 - Python
Using symbolic regression and genetic programming to discover an interpretable, closed-form equation for customer segmentation.
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Jul 19, 2026 - Jupyter Notebook
This project was done as Master's Thesis in Institute of Particle Technology within TU Braunschweig. An autonomous LLM agent built using the Model Context Protocol (MCP) that optimizes symbolic regression on real industrial datasets from particle technology research.
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Jun 4, 2026 - Python
Code for "Physics-Anchored Discovery of Trustworthy Pathloss Models": a discovery method whose output is physically valid and structurally deterministic, plus the evaluation tools and full experiment records.
symbolic-regression wireless-communications pathloss physics-informed radio-propagation model-discovery pysr kolmogorov-arnold-networks channel-modeling
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Aug 17, 2026 - Python
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