Genetic Programming
Showing 17 of 17 projects
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
Genetic Programming in Python, with a scikit-learn inspired API
Source code and tutorials for learning genetic algorithms and genetic programming in Python through hands-on example projects.
A pure-Java/C# machine learning framework for neural networks, genetic programming, and classic ML algorithms with simple adaptable source code.
Automated modeling and machine learning framework FEDOT
A Clojure implementation of the Push programming language and PushGP genetic programming system for evolutionary computation.
A fast and flexible Rust library for implementing genetic algorithms, neuroevolution, and genetic programming.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
A strongly-typed genetic programming framework for Python that makes evolutionary algorithms accessible and fun.
A genetic programming library for Clojure that evolves programs using mutation, reproduction, and fitness functions.
A Common Lisp library implementing evolutionary algorithms including Genetic Programming and Differential Evolution for optimization tasks.
A feature engineering wrapper for scikit-learn that uses genetic programming to find optimal feature transformations for machine learning models.
A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.
A Swift framework for building fast and extensible genetic algorithms with support for multiple platforms.
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