gpFlappyBird VS sel

Compare gpFlappyBird vs sel and see what are their differences.

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gpFlappyBird sel
1 3
164 162
- 0.6%
0.0 9.6
over 3 years ago 2 months ago
Python Common Lisp
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gpFlappyBird

Posts with mentions or reviews of gpFlappyBird. We have used some of these posts to build our list of alternatives and similar projects.

sel

Posts with mentions or reviews of sel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-25.

What are some alternatives?

When comparing gpFlappyBird and sel you can also consider the following projects:

flappybird - A 1:1 Flappy Bird Clone written 100% in swift!

misc-extensions - Some utilities that are used by FSet and also are useful in conjunction with FSet.

GP-CNAS - Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming

pyshgp - Push Genetic Programming in Python.

prose - Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.

fset - FSet, the functional collections library for Common Lisp.

functional-trees - Tree data structure supporting functional manipulation. Works closely with FSet.

clojure-rust - Clojure to Rust compiler

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)