ManyuChang

ManyuChang's Stars

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS42.5k2k1.2k5.4k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.2k72102.4k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python13.6k1159231.8k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.6k1273092k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.4k1485262.4k

• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1022061.3k

• progschj/ThreadPool

  A simple C++11 Thread Pool implementation

  Language:C++7.8k224842.2k

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.2k621.6k1.5k

• facebookresearch/deit

  Official DeiT repository

  Language:Python4k48197548

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.3k35176368

• 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.

  Language:Python3.2k69263524

• fundamentalvision/Deformable-DETR

  Deformable DETR: Deformable Transformers for End-to-End Object Detection.

  Language:Python3.1k32226513

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.5k31150346

• mit-han-lab/bevfusion

  [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

  Language:Python2.2k40607406

• OpenDriveLab/End-to-end-Autonomous-Driving

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

  2.1k511205

• gaoxiang12/slam_in_autonomous_driving

  《自动驾驶中的SLAM技术》对应开源代码

  Language:C++1.9k42147465

• OpenDriveLab/Birds-eye-view-Perception

  [IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

  Language:Python1.2k341899

• hustvl/MapTR

  [ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

  Language:Python1.1k41182161

• WangYueFt/detr3d

  Language:Python7682070148

• ADLab-AutoDrive/BEVFusion

  Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

  Language:Python7201893100

• Tsinghua-MARS-Lab/HDMapNet

  Language:Python6812749123

• autodriving-heart/Awesome-Autonomous-Driving

  awesome-autonomous-driving

  62012069

• HKUST-Aerial-Robotics/MonoLaneMapping

  Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)

  Language:Python352202445

• Tsinghua-MARS-Lab/Online-HD-Map-Construction-CVPR2023

  Online HD Map Construction CVPR2023

  Language:Python24010835

• mit-acl/clipper

  graph-theoretic framework for robust pairwise data association

  Language:C++21961137

• HaoranZhuExplorer/World-Models-Autonomous-Driving-Latest-Survey

  A curated list of world models for autonomous driving. Keep updated.

  145808

• didi/logbook

  Language:Java1085010

• drilistbox/3DPPE

  Language:Python56164

• Shane1911/Monlanemapping_C_version

  Language:C++545113

• maysjeff/LS_INS_GNSS_EKF

  Loosely Coupled INS/GNSS Error State Extended Kalman Filter in Python/C++

  Language:Python172611