Fatcat3Z

Fatcat3Z's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.9k3086755.7k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python31.3k2535.5k4.8k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.3k1163921.4k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.7k180111.3k

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.9k42305700

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5k1057921.3k

• xxlong0/Wonder3D

  Single Image to 3D using Cross-Domain Diffusion for 3D Generation

  Language:Python4.8k48180389

• luban-agi/Awesome-AIGC-Tutorials

  Curated tutorials and resources for Large Language Models, AI Painting, and more.

  3.9k292262

• rpng/open_vins

  An open source platform for visual-inertial navigation research.

  Language:C++2.2k76428654

• HKUST-Aerial-Robotics/A-LOAM

  Advanced implementation of LOAM

  Language:C++2.1k5466806

• TixiaoShan/LVI-SAM

  LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

  Language:C++1.5k3567455

• Ewenwan/ORB_SLAM2_SSD_Semantic

  动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

  Language:C++1.5k3932430

• PeizeSun/SparseR-CNN

  [CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal

  Language:Python1.3k18101187

• xieenze/PolarMask

  Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

  Language:Python8733674158

• woven-planet/l5kit

  L5Kit - https://woven.toyota

  Language:Python858196134279

• tusen-ai/SST

  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

  Language:Python80214194102

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python7361526103

• gisbi-kim/SC-LIO-SAM

  LiDAR-inertial SLAM: Scan Context + LIO-SAM

  Language:C++6521533177

• openxrlab/xrnerf

  OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark

  Language:C++582151049

• smilefacehh/LIO-SAM-DetailedNote

  LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS

  Language:C++52145155

• oliver-batchelor/multical

  Multi-camera calibration using one or more calibration patterns

  Language:Python38445968

• CVMI-Lab/ST3D

  (CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

  Language:Python298138946

• xuanyuzhou98/SqueezeSegV2

  Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

  Language:Python232131769

• Xharlie/BtcDet

  Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

  Language:Python19554142

• yolofeng/CVPR2022-Autonomous-Driving

  1343020

• MaverickPeter/DiSCO-pytorch

  Differentiable Scan Context with Orientation

  Language:Python798616

• ngthanhtin/Muiltiple-Object-Tracking

  Project-Using Background Subtraction Method, Kalman Filter and Hungary Algorithm.

  Language:C++713628

• YG256Li/UniDream

  54821

• linkernetworks/LidarDomainAdaptation

  Domain adaptation for LIDAR resource list

  30103

• wxywhu/RFSR_TGRS

  hyperspectral image super-resolution

  Language:Python10101