fzy111

tactics2d

Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

tactics

TACTICS (The ACademic TeachIng Purpose Car Simulator)

awesome-3D-generation

A curated list of awesome 3d generation papers

anything_in_anyscene

so-large-lm

大模型基础: 一文了解大模型基础知识

GraphAD

DriveDreamer2

OASim

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Talk2car_CAVG

[Communication in Transprotation Reasearch] Official PyTorch Implementation of ''GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models.''

PlanKD

[CVPR 2024] On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving

GenAD

[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving

LMDrive

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

ChatSim

[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration

DiLu

[ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

MatrixCity

MARL-scenario-generation

This project includes a series of processes for generating a library of automated driving simulation scenarios using reinforcement learning methods. We ensure that the reward function in multi-agent reinforcement learning is effective by designing a function that simulates the complexity of the scene.

street_gaussians

[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

DriveMLM

READ

AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

End-to-end-Autonomous-Driving

All you need for End-to-end Autonomous Driving

llm-universe

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

scenario_runner

Traffic scenario definition and execution engine

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

DriveAGI

[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System

RoboGen

A generative and self-guided robotic agent that endlessly propose and master new skills.

AlignmentSurvey

AI Alignment: A Comprehensive Survey

DrivingDiffusion

Layout-Guided multi-view driving scene video generation with latent diffusion model

waymax

A JAX-based simulator for autonomous driving research.

Net2Vis

Automatic neural network visualizations generated in your browser!

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.