iweey's Stars
siwen-yu/gismap
Gis打点工具。主要在地图上打印海量点,打印轮廓,打印折线,打印热力图,坐标拾取,距离测量,轮廓编辑等功能
qintonguav/e2e-parking-carla
hustvl/MapTR
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
OpenDriveLab/UniAD
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
mindgarage-shan/transformer_object_detection_survey
pbw-Berwin/View-Parsing-Network
(RA-L & IROS 2020) Cross-view Semantic Segmentation for Sensing Surroundings.
WangYueFt/detr3d
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
XueSongTap/bev_lane_det
aharley/simple_bev
A Simple Baseline for BEV Perception
lencx/ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
4DVLab/Vision-Centric-BEV-Perception
Vision-Centric BEV Perception: A Survey
LiZhengXiao99/Navigation-Learning
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;本仓库会长期更新,分享出来,既是跟大家做个交流,也激励着自己坚持学下去;所有内容都可以随意转载,原始文件都放在这了,欢迎在我的基础上整理出自己的一些文档。
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
Charmve/OccNet-Course
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
gotonote/GPT-Notes
GPT笔记,以解析相关知识点进行阐述,以帮助自己及有需要的读者;包含 深度学习、deeplearning、CVPR、GPT、NLP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。如有合作意向,请联系 931531133@qq.com
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
BR-IDL/PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
Enzo-MiMan/Enzo-MiMan.github.io
zetane/viewer
ML models and internal tensors 3D visualizer
Enzo-MiMan/cv_related_collections
open-compass/MixtralKit
A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI
xy-guo/mmdetection_kitti
2D detection on KITTI dataset. see configs/kitti
HuangJunJie2017/BEVDet
Code base of the BEVDet series .
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
apachecn/assemblyai-blog-zh
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.