genetic-programming
There are 503 repositories under genetic-programming topic.
trevorstephens/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
primaryobjects/AI-Programmer
Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149
jenetics/jenetics
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
wildart/Evolutionary.jl
Evolutionary & genetic algorithms for Julia
lspector/Clojush
The Push programming language and the PushGP genetic programming system implemented in Clojure.
pkalivas/radiate
A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques
ShuhuaGao/geppy
A framework for gene expression programming (an evolutionary algorithm) in Python
heal-research/operon
C++ Large Scale Genetic Programming
ShuhuaGao/gpFlappyBird
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
UePG-21/gpquant
Mining technical factors based on symbolic regression via genetic algorithm
oblivia-simplex/roper
Return Oriented Programme Evolution with ROPER
hengzhe-zhang/EvolutionaryForest
An open source python library for automated feature engineering based on Genetic Programming
Evolutionary-Intelligence/DistributedEvolutionaryComputation
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.
NewT123-WM/tnlearn
A Python package that uses task-based neurons to build neural networks.
opencog/moses
MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.
lagodiuk/genetic-programming
Symbolic regression solver, based on genetic programming methodology.
hchasestevens/monkeys
A strongly-typed genetic programming framework for Python
tlemo/darwin
Evolutionary Algorithms Framework
renatoosousa/GeneticAlgorithmForFeatureSelection
Search the best feature subset for you classification mode
moshesipper/tiny_gp
Tiny Genetic Programming in Python.
EC-KitY/EC-KitY
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
Ambrosys/glyph
a python 3 library based on deap providing abstraction layers for symbolic regression problems.
evoasm/evoasm.rb
An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine
optframe/optframe
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
Hintzelab/MABE
Modular Agent Based Evolution Framework
erp12/pyshgp
Push Genetic Programming in Python.
aimclub/GOLEM
Graph Optimiser for Learning and Evolution of Models
diogomatoschaves/geneal
A genetic algorithm implementation in python
MaxHalford/xgp
:crystal_ball: Symbolic regression library
heal-research/pyoperon
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
hecoding/Pac-Man
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
marcovirgolin/GP-GOMEA
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
Evolutionary-Intelligence/EvolutionaryComputation-A-Modern-Perspective-ECAMP
Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).
laic-ufmg/Recipe
Automated machine learning (AutoML) with grammar-based genetic programming
StefanoFioravanzo/MAP-Elites
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization