retr0sity/bombard-ant

A genetic algorithm-powered optimizer designed to strategically place bombs for maximum ant extermination. Bombard-ant simulates evolutionary principles to discover the most effective bomb placements near ant nests, using selection, crossover, and mutation to improve results over generations.

18
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

3

Forks

—

Language

HTML

License

MIT

Last pushed

Nov 14, 2025

Commits (30d)

0

GitHub

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/retr0sity/bombard-ant"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

scikit-learn/scikit-learn

scikit-learn: machine learning in Python

100

probabl-ai/skore

Track your Data Science. Skore's open-source Python library accelerates ML model development...

94

pallets/click

Python composable command line interface toolkit

90

openml/openml-python

OpenML's Python API for a World of Data and More 💫

88

huggingface/evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

87

Explore ML Frameworks

All categories Trending ML Framework directory Insights