ArztSamuel/Applying_EANNs

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1571 stars · 367 forks observed · 2026-08-28

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

A 2D Unity simulation where cars learn to navigate courses using a feedforward neural network trained by a modified genetic algorithm. It serves as a hands-on educational demo of evolutionary artificial neural networks with tunable parameters in the Unity Editor.

Use cases

• simulate cars learning to drive through courses with neural networks
• learn how genetic algorithms train neural network weights
• demonstrate evolutionary algorithms in a visual simulation
• experiment with neural network and genetic algorithm parameters in Unity
• teach deep learning and neuroevolution concepts
• extend a genetic algorithm with custom selection and mutation operators

When to choose

• you want a visual, interactive demo of neuroevolution
• you are learning how genetic algorithms can optimize neural networks
• you want a Unity project to tinker with and extend
• you need an educational example of self-driving car simulation

When to avoid

• you need production-grade autonomous driving software
• you require gradient-based training like backpropagation
• you need a headless or high-performance training pipeline
• you want a framework or library rather than a self-contained Unity application

Facets

application · maturity stable

machine-learning simulation game-engine artificial-intelligence machine-learning simulation windows cross-platform genetic-algorithm neural-networks unity self-driving-cars evolutionary-algorithms educational-demo game-development

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markdown · JSON · MCP: product_card(name="ArztSamuel/Applying_EANNs")