Discover marcovirgolin/coeffmut_gpgomea Open Source project

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Created almost 3 years ago
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Code to reproduce paper by Virgolin and Bosman "Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression" 2022

GP-GOMEA

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

C++

pyNSGP

Multi-objective Genetic Programming by NSGA-II in Python

Python

genepro

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

Python

SimpleGP

Simple Genetic Programming for Symbolic Regression in Python3

Python

robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Jupyter Notebook

gpg

Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.

C++

2SEGP

Simple Simultaneous Ensemble Learning in Genetic Programming

Python

Uncertainty-Estimation-in-Deep-Nets

Attempt to reproduce the toy experiment of http://bit.ly/2C9Z8St with an ensemble of nets and with dropout.

Python

CoGS

A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.

Python

DivNichGP

Python re-implementation of the Diverse Niching Genetic Programming algorithm for binary classification and regression

Python

APhA

Code to automatically assemble highly-individualized phantoms from DICOM CT scans and RT STRUCT files

Python

FaceDetectionDotNet

A small C# project to detect faces and facial landmarks

marcovirgolin.github.io

Marco Virgolin's personal website

HTML

ML-PIE

Code to run ML-PIE (EC+DM WS @ GECCO '21)

Python

marcovirgolin/coeffmut_gpgomea

marcovirgolin

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