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18 search results found

Gplearn ⭐ 1,441

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

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

C++ Large Scale Genetic Programming

Genetic Programming ⭐ 89

Symbolic regression solver, based on genetic programming methodology.

EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

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

🔮 Symbolic regression library

Vita - Genetic Programming Framework

Gp Gomea ⭐ 32

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

Heuristiclab ⭐ 23

HeuristicLab - An environment for heuristic and evolutionary optimization

Pyoperon ⭐ 21

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

Cartesian ⭐ 21

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

Cartesian genetic programming (CGP) in pure Python.

Simplegp ⭐ 19

Simple Genetic Programming for Symbolic Regression in Python3

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

Genetic Programming With Rademacher Complexity ⭐ 11

Code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (IEEE CEC2019). Paper Link: https://ieeexplore.ieee.org/document/8790341

Java Genetic Programming ⭐ 6

Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc

Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.

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