A Free and Open Source Python Library for Multiobjective Optimization
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Updated
Oct 7, 2024 - Python
A Free and Open Source Python Library for Multiobjective Optimization
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Tiny Genetic Programming in Python.
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
Dockerfiles for tools commonly used for phylogenetic analyses
Abstract Art Evolved
ARCHIVED IN FAVOR OF https://github.com/fkie-cad/epf
Descentralized Optimization Network (DON) is a REST API that allows extending existing evolutionary algorithms to a decentralized architecture to provide collaboration, scalability, event log and fault-tolerance in an optimization process. It also allows external clients to make remote evaluations of data using the most optimized models.
Evolutionary engine for easier hyper-parameter optimization of AI and ML models.
Tiny Genetic Algorithm in Python.
Nextflow pipeline for generation of BCCDC routine SARS-CoV-2 phylogenetic trees to be visualized with Auspice.
evolutionary computing / genetic algorithm
neuroevolution on the game of draughts
Tiny Genetic Algorithm (GA) and Tiny Genetic Programming (GP)
Exploring the application of a Genetic Algorithm to evolve harmonographs
Evolutionary optimization package.
A genetic algorithm to brew the perfect cup of tea.
A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving
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