55 Open source projects that are alternatives of or similar to geppy

Tiny Genetic Programming in Python

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Vita - Genetic Programming Framework

Cartesian genetic programming (CGP) in pure Python.

An evolutionary computation framework

Simple Genetic Programming for Symbolic Regression in Python3

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

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

Search the best feature subset for you classification mode

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

Evolutionary algorithms library for the web 🧬

Tools to estimate Linear Time-Varying models in Julia

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

A robust Linear Genetic Programming implementation on the JVM using Kotlin.

AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

A pure-Swift genetic algorithm library built for composition and extensibility.

Control in C++

cdv.dei.uc.pt/denser/

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

A genetic algorithm implementation in python

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

Code that trains cancer soft-robot networks

SLICOT - A Fortran subroutines library for systems and control

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Multi-Objective GP for Automated Repair of Java

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

A Python Package For System Identification Using NARMAX Models

Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relating observed indicator variables to actions, either real-valued or discrete.

Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"

A Binary Genetic Traits Lexer Framework

Modular Java framework for meta-heuristic optimization

Opinion Mining/Sentiment Analysis Classifier using Genetic Programming

My collection of implementations of adaptive filters.

An open source python library for automated feature engineering based on Genetic Programming

predicting equations from raw data with deep learning

A simple Java OOP evolutionary algorithm framework.

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

Scala API for jenetics

The old school Tetris game in addition with an AI that learns evolutionary how to play this game

A topology and parameter evolving universal learning network.

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

An AI to teach Google Chrome's dinosaur to jump obstacles.

Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dario Piga.

MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Automated modeling and machine learning framework FEDOT

Automated machine learning (AutoML) with grammar-based genetic programming

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

MoveIt kinematics_base plugin based on particle optimization & GA

A "Natural" Selection Simulator using Neural Nets

DISHTINY: A Platform for Studying Open-Ended Evolutionary Transitions in Individuality