beizhengren

beizhengren's Stars

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python34.9k1879.9k6.7k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.8k3254053.4k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.5k3071.4k2.6k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4653304.2k

• tracel-ai/burn

  Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

  Language:Rust9.3k68758465

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.6k62140483

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4.9k45494471

• OpenDriveLab/UniAD

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

  Language:Python3.7k38191420

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.6k49465598

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.4k1825676

• ai-dawang/PlugNPlay-Modules

  Language:Python2.7k76235

• Duankaiwen/CenterNet

  Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

  Language:Python1.9k45146382

• bubbliiiing/unet-pytorch

  这是一个unet-pytorch的源码，可以训练自己的模型

  Language:Python1.4k7107269

• mattm/simple-neural-network

  A simple Python script showing how the backpropagation algorithm works.

  Language:Python1k625535

• NVIDIA/retinanet-examples

  Fast and accurate object detection with end-to-end GPU optimization

  Language:Python89044316270

• hustvl/VAD

  [ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

  Language:Python801309584

• TommyZihao/MMSegmentation_Tutorials

  Jupyter notebook tutorials for MMSegmentation

  Language:Jupyter Notebook54341491

• Jermmy/pytorch-quantization-demo

  A simple network quantization demo using pytorch from scratch.

  Language:Python514102198

• 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)

  Language:Python4897550

• Jingkang50/OODSurvey

  The Official Repository for "Generalized OOD Detection: A Survey"

  Language:Jupyter Notebook45014339

• datawhalechina/d2l-ai-solutions-manual

  《动手学深度学习》习题解答，在线阅读地址如下：

  Language:Jupyter Notebook37862970

• ZhangPHEngr/Kalman-in-MOT

  使用卡尔曼滤波进行图像处理中的多目标跟踪，其中使用最大权值匹配进行数据关联

  Language:Python2701562

• liuchangji/kalman-filter-in-single-object-tracking

  A simple implementation of Kalman filter in single object tracking

  Language:Python2292661

• mabhisharma/Multi-Object-Tracking-with-Kalman-Filter

  Language:Python1782244

• hardik0/Multi-Object-Tracking-Google-Colab

  Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

  Language:Jupyter Notebook841326

• Xuan-World/Mamba-YOLO-World

  Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

  Language:Python61196

• jamesljlster/yoro

  A YOLO Variant for Rotated Object Detection

  Language:Python29255

• Ugenteraan/Kalman-Filter-Scratch

  Implementation of Kalman Filter from scratch with notes.

  Language:Jupyter Notebook21204

• jamesljlster/yoro-tutorial

  Language:Python121

• YinminZhang/BEVDet-kitti

  Language:Python9113