Popular GitHub Repositories for Steering

A Unity library for common movement AI

A complete framework for Godot to create beautiful and complex AI motion. Works both in 2D and in 3D.

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

A 2D space exploration and mining game made with Godot and our AI framework

Steering Llama 2 with Contrastive Activation Addition

A End to End CNN Model which predicts the steering wheel angle based on the video/image

GenAI & agent toolkit for Apple Silicon Mac, implementing JSON schema-steered structured output (3SO) and tool-calling in Python. For more on 3SO: https://huggingface.co/blog/ucheog/llm-power-steering

Steering vectors for transformer language models in Pytorch / Huggingface

Stanford NLP Python library for benchmarking the utility of LLM interpretability methods

LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces

Run a self-driving car using JavaScript and TensorFlow.js

TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks (AAAI 2019, oral)

Steering-based control of a two-wheeled vehicle using RL-PPO and NVIDIA Isaac Gym.

An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.

A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.

Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other object detection features.

Computer Vision model that predicts steering angles from F1 onboard camera footage.

Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. In CVPR, 2020.

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.