kevinhughes27/TensorKart resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1575 stars · 250 forks observed · 2026-08-28

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

A demonstration project that trains a TensorFlow neural network to autonomously drive in Mario Kart 64 using the mupen64plus emulator. It records gameplay screenshots and joystick inputs, trains a CNN model, and plays the game through a gym-mupen64plus environment.

Use cases

• train a neural network to play Mario Kart 64
• learn end-to-end self-driving with TensorFlow
• collect training data from emulator screenshots
• experiment with imitation learning from human gameplay
• set up a reinforcement learning baseline in a game environment

When to choose

• you want a hands-on, end-to-end example of training a driving model from screen pixels
• you're learning TensorFlow, cuDNN, or gym environments with a fun project
• you want to experiment with imitation learning on a small dataset

When to avoid

• you need a production-grade autonomous driving or RL framework
• you don't run Linux or can't set up mupen64plus with a joystick
• you need a maintained, well-supported library rather than a demo project

Facets

learning-resource · maturity maintenance

machine-learning deep-learning computer-vision reinforcement-learning simulation machine-learning deep-learning computer-vision gaming-tools autonomous-vehicles python tensorflow mario-kart-64 emulator self-driving imitation-learning gym-environment mupen64plus demo-project linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kevinhughes27/TensorKart")