Showing 12 of 12 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.
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.
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.
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