Genetic Programming in Python, with a scikit-learn inspired API
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Updated
Nov 29, 2023 - Python
Genetic Programming in Python, with a scikit-learn inspired API
Automated modeling and machine learning framework FEDOT
A framework for gene expression programming (an evolutionary algorithm) in Python
Mining technical factors based on symbolic regression via genetic algorithm
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
An open source python library for automated feature engineering based on Genetic Programming
A Python package that uses task-based neurons to build neural networks.
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.
Push Genetic Programming in Python.
A genetic algorithm implementation in python
Graph Optimiser for Learning and Evolution of Models
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.
This course covers the applied side of algorithmics in machine learning, with some deep learning and evolutionary algorithms thrown in as well.
Symbolic Generators for Complex Networks
Program Synthesis framework that features heuristics methods (e.g., Genetic Programming) and grammars are defined in Python dataclasses
Implementation of data mining methods that use evolutionary algorithms
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