Skip to content
#

genetic-evolutionary-algorithms

Here are 2 public repositories matching this topic...

GENetic EVolutionary Organoid: The Self-Evolving Neural Architecture. Inspiration: Biological genes — evolution, adaptation, and infinite creative potential. Goal: Surpass every major AGI benchmark (ARC, HLE, AGI v1/v2, and beyond) through a truly self-evolving architecture that learns, adapts, and rewrites itself.

  • Updated Nov 27, 2025
  • Python

This application will allow: to Upload your experiment results. Select any of the top-performing architectures from the final population. Run the selected architecture through a series of simulated "real-world" benchmark tasks. View a detailed performance report and a final "AGI Scorecard" for the chosen architecture.

  • Updated Nov 8, 2025
  • Python

Improve this page

Add a description, image, and links to the genetic-evolutionary-algorithms topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the genetic-evolutionary-algorithms topic, visit your repo's landing page and select "manage topics."

Learn more