Popular GitHub Repositories for Car Following

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

A JavaScript deep learning and reinforcement learning library.

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

? Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

Must-read Papers on LLM Agents.

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

Unofficial implemention of lanenet model for real time lane detection

Scenarios, tutorials and demos for Autonomous Driving

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

An Open-sourced Knowledgable Large Language Model Framework.

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））