XiaoyuZxy00

XiaoyuZxy00's Stars

• yehongzhi/learningSummary

  涵盖大部分Java进阶需要掌握的知识，包括【微服务】【中间件】【缓存】【数据库优化】【搜索引擎】【分布式】等等，欢迎Star~

  1.4k311

• bin392328206/six-finger

  📓从Java基础、JavaWeb基础到常用的框架再到面试题、微服务、分布式、大数据都有完整的教程，几乎涵盖了Java必备的知识点

  Language:Java2.1k329

• techa03/goodsKill

  🐲基于SpringCloud 2023.x + Dubbo 3.x构建的模拟秒杀微服务项目，集成了Elasticsearch🔍、Gateway、Mybatis-Plus、Sharding-JDBC等常用开源组件

  Language:Java1.9k468

• Java-Edge/Java-Interview-Tutorial

  请star，勿fork，因为爱force push！涵盖国际大厂Java/数据库/DDD/设计模式/微服务/中间件/AI大模型应用/区块链开发最佳实践。关注公众号【JavaEdge】，一起交流学习！

  Language:Shell2.7k475

• dromara/Sa-Token

  一个轻量级 Java 权限认证框架，让鉴权变得简单、优雅！—— 登录认证、权限认证、分布式Session会话、微服务网关鉴权、单点登录、OAuth2.0

  Language:Java16.2k2.6k

• Jstarfish/JavaKeeper

  ✍️ Java 工程师必备架构体系知识总结：涵盖分布式、微服务、RPC等互联网公司常用架构，以及数据存储、缓存、搜索等必备技能

  2k263

• lilishop/lilishop

  商城 JAVA电商商城 多语言商城 uniapp商城 微服务商城

  Language:Java4.1k1.1k

• doocs/advanced-java

  😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

  Language:Java75.7k19k

• jshilong/DDQ

  Dense Distinct Query for End-to-End Object Detection (CVPR2023)

  Language:Python2446

• google-research/pix2seq

  Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

  Language:Jupyter Notebook85871

• RainBowLuoCS/DiffusionTrack

  [AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.

  Language:Python1647

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python28.4k5.6k

• arlosefj/github_interest

  interest repositories

  19643

• mlnethub/awesome-yolo-object-detection

  🔥🔥🔥 A collection of some awesome public YOLO object detection series projects.

  3

• postor/DOTA-yolov3

  DOTA database training with yolo | 基于DOTA数据集的yolo训练

  Language:Python5918

• raj-chinagundi/VisDrone_YOLOv5

  Building Custom Object Detection model on VisDrone2021 dataset

  Language:Jupyter Notebook173

• timforby/visdrone_yolov3

  Language:Python82

• brandons209/visdrone-yolov3

  Visdrone DET dataset with YOLOv3

  Language:Python5

• JackWoo0831/Yolov7-tracker

  Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.

  Language:Python61185

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64k7.9k

• RangiLyu/nanodet

  NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

  Language:Python5.7k1k

• ZS123-lang/TENET

  4

• ibrahimethemhamamci/HierarchicalDet

  MICCAI 2023 & Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

  Language:Python7014

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k160

• shawnyuen/object_detection_paper_collection

  519

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k2k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.7k2.6k

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• Dawn5786/CoCRF-TrackNet

  A Tracking Framework for Satellite Videos.

  Language:Python5

• binlin-cv/MACF

  1st Place Winner of the ICPR 2022 Challenge on Moving Object Detection and Tracking in Satellite Videos (Task 2: Single object tracking in satellite videos)

  Language:MATLAB164