Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.

Solve Visual Understanding with Reinforced VLMs

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.

[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving

PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving

[NeurIPS 2024] SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

Official repository for "STEERABLE ADVERSARIAL SCENARIO GENERATION VIA TEST-TIME PREFERENCE ALIGNMENT"

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap

TRE'25: Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach

[ICCV 2025] This is the official repo for the paper "EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting"

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

[ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Witness the aha moment of VLM with less than $3.

Fully open reproduction of DeepSeek-R1

Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Benchmark and model for step-by-step reasoning in autonomous driving.

MetaDrive: Lightweight driving simulator for everyone

A Collection of Foundation Driving Models by OpenDriveLab

Large Driving Models

The official GitHub page for the survey paper "A Survey of Large Language Models".

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner

CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"