Symbolic Regression Python Packages

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

108K 2K 326

flash-ansr

Fast Amortized Neural Symbolic Regression with Transformers and SimpliPy

32K 9 1

pyoperon

Python bindings and scikit-learn interface for the Operon library for symbolic regression.

6K 83 19

simplipy

Efficient Simplification of Mathematical Expressions

5K 5 0

beamfeat

Interpretable feature construction with false-discovery-rate guarantees. Beam search + permutation tests/knockoffs, as scikit-learn estimators.

1K 1 0

hroch

Extremly fast c++/python symbolic regression library based on parallel local search.

1K 20 0

symbolic-regression-toolkit

Toolkit for symbolic regression/equation discovery

645 10 1

psrn

[𝐍𝐚𝐭𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞] ⚡️ PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

639 26 4

oikan

OIKAN is a neuro-symbolic machine learning framework inspired by Kolmogorov-Arnold representation theorem. It combines the power of modern neural networks with techniques for extracting clear, interpretable symbolic formulas from data. OIKAN is designed to make machine learning models both accurate and Interpretable.

634 16 1

torchsisso

No description available

549 42 6

simplegp

Simple Genetic Programming for Symbolic Regression in Python3

419 27 14

adcd

Discover physical correction laws from anomalous data in JAX.

417 1 0

eckity

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

364 104 20

geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

356 222 74

symbolfit

Automatic parametric modeling with symbolic regression

355 75 6

physo

Physical Symbolic Optimization

345 2K 263

cartesian

a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.

343 25 4

pyglyph

a python 3 library based on deap providing abstraction layers for symbolic regression problems.

323 96 17

kanx

One library, four surfaces. Production-grade Kolmogorov-Arnold Networks || TensorFlow + PyTorch + ONNX. || A small KAN beats a 10× larger MLP on smooth, separable target. One library. Two backends. Real ONNX export. Docker + Kubernetes ready.

311 37 8

genepro

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

228 35 9