ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目

CVPR 2024 论文和开源项目合集

Offical implementation of CVPR2024 paper ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

[ Deprecated 已废弃 ] Please use oapi-sdk-go

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. …

[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

✔（已完结）最全面的 深度学习 笔记【我是土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

An open autonomous driving platform

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

自动驾驶更新笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR2023、特斯拉AI DAY等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。 未完待续........ 如有合作意向，请联系 [email protected]

This repository is the implementation of trajectory prediction's methods, such as LaneGCN, Vectornet, TNT...

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

An autonomous vehicle software's frame used by beihang university.

Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model

Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/

Common used path planning algorithms with animations.

使用C++和python刷leetcode题目

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving

(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

PRML algorithms implemented in Python

Paper reading notes on Deep Learning and Machine Learning

《C++ Primer》第五版中文版习题答案