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pattern-generation

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VanceNet is a neural network that evolves patterns through mutation-based learning. Neurons adjust their weights and biases, generating complex outputs. The network evaluates these outputs based on entropy, fractal dimension, and complexity, refining patterns over time. It is designed for pattern recognition and complexity analysis.

  • Updated Nov 28, 2024

🌟 Explore the mesmerizing world of cellular automata with AutomataCraft! Watch intricate patterns evolve, customize simulations, and delve into endless possibilities. Experience the art of automation in this captivating MIPS assembly renderer. 🚀

  • Updated Sep 1, 2023

DigitalOrganism is an interactive, visually captivating cellular automaton simulation that explores the fascinating world of emergent patterns and complexity. This project, inspired by Multiple Neighborhood Cellular Automata.

  • Updated Jul 24, 2024
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