There are 22 repositories under genetic-programming topic.
Genetic Programming in Python, with a scikit-learn inspired API
Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
Evolutionary & genetic algorithms for Julia
The Push programming language and the PushGP genetic programming system implemented in Clojure.
A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques
A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.
C++ Large Scale Genetic Programming
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Return Oriented Programme Evolution with ROPER
An open source python library for automated feature engineering based on Genetic Programming
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
A Python package that uses task-based neurons to build neural networks.
MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.
Symbolic regression solver, based on genetic programming methodology.
A strongly-typed genetic programming framework for Python
Search the best feature subset for you classification mode
Tiny Genetic Programming in Python.
EC-KitY: 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.
OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etMu
A genetic algorithm implementation in python
Implementation of data mining methods that use evolutionary algorithms
:crystal_ball: Symbolic regression library
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)