greerviau/SnakeAI

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2390 stars · 556 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Processing application that trains neural networks to play the game Snake using a genetic algorithm with crossover and mutation across generations of 2000 snakes. It visualizes training progress, including best-score graphs per generation.

Use cases

• train a neural network to play snake
• learn how genetic algorithms evolve neural networks
• demonstrate neuroevolution with crossover and mutation
• visualize fitness improvements across generations
• experiment with customizable neural network architectures
• educational demo of reinforcement-free learning

When to choose

• you want a visual, self-contained demo of neuroevolution
• you are teaching or learning genetic algorithms and neural networks
• you want to run experiments with customizable network sizes in Processing

When to avoid

• you need production-grade reinforcement learning with GPU acceleration
• you want a library to embed into your own projects rather than a standalone app
• you need Python or a modern ML framework ecosystem

Facets

application · maturity maintenance

machine-learning simulation game data-visualization artificial-intelligence machine-learning education cross-platform genetic-algorithm neuroevolution snake-game processing neural-network evolutionary-computation game-development desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="greerviau/SnakeAI")