SullyChen/Autopilot-TensorFlow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1276 stars · 433 forks observed · 2026-08-28

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

A TensorFlow implementation of Nvidia's end-to-end self-driving steering angle prediction paper (arXiv 1604.07316) with some modifications. It trains a convolutional neural network on driving datasets and can run predictions on a live webcam feed or a recorded dataset.

Use cases

• reproduce the Nvidia end-to-end self-driving paper in TensorFlow
• train a CNN to predict steering angles from camera images
• run a trained driving model on a live webcam feed
• evaluate a steering prediction model on a driving dataset
• learn how deep learning is applied to autonomous driving
• visualize training progress with TensorBoard

When to choose

• you want a simple, readable implementation of the Nvidia steering model for study or research
• you need a baseline CNN regression model for driving datasets
• you are learning about end-to-end learning for self-driving cars

When to avoid

• you intend to actually control a real vehicle - the author explicitly forbids this as dangerous and illegal
• you need a production-grade or actively maintained autonomous driving stack
• you need modern TensorFlow 2.x or PyTorch compatibility without modifications

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing machine-learning deep-learning computer-vision autonomous-vehicles education python cross-platform self-driving-car steering-angle-prediction nvidia-paper cnn-regression research-code tensorflow

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SullyChen/Autopilot-TensorFlow")