Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

[NeurIPS 2025] TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving

Offical repo of paper CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

Scalable Multi-Agent RL Training School for Autonomous Driving

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

A curated list of awesome End-to-End Autonomous Driving resources (continually updated)

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

A map representation based on 3D segments

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

OpenVLA: An open-source vision-language-action model for robotic manipulation.

Solve Visual Understanding with Reinforced VLMs

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Test generation using large language models

TagGPT: Large Language Models are Zero-shot Multimodal Taggers

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Source code for SIGIR 2023 paper: Prompt Learning for News Recommendation

This is now the official location of the Kaldi project.

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

CVPR 2024 Papers Autonomous Driving

awesome-autonomous-driving