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[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
Full stack LLM (Pre-training/finetuning, PPO(RLHF), Inference, Quant, etc.)
A PyTorch-based model pruning toolkit for pre-trained language models
🚀 「大模型」1小时从0训练26M参数的视觉多模态VLM！🌏 Train a 26M-parameter VLM from scratch in just 1 hours!
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
Generative model for Unified Motion Planning tasks
The Open-Source Data Annotation Platform
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)
[ECCV 2024] Official GitHub repository for the paper "LingoQA: Visual Question Answering for Autonomous Driving"
LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support
基于 LKY_OfficeTools 构建的图形化版本。一键自动化下载、安装、激活 Office 正版的办公增强工具。该工具完全免费、无广告、绿色、无毒、简约、高效、安全。
[AAAI2025] Language Prompt for Autonomous Driving
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
This repository collects research papers of large Vision Language Models in Autonomous driving and Intelligent Transportation System. The repository will be continuously updated to track the lates…
LAVIS - A One-stop Library for Language-Vision Intelligence
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
A curated list of awesome knowledge-driven autonomous driving (continually updated)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A Pytorch implementation of DeepCrack and RoadNet projects.