XinYangDong

XinYangDong's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k4.5k1k45.5k

• avelino/awesome-go

  A curated list of awesome Go frameworks, libraries and software

  Language:Go129k2.8k64811.8k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.7k3679.2k16.1k

• TheAlgorithms/Go

  Algorithms and Data Structures implemented in Go for beginners, following best practices.

  Language:Go15.8k290772.6k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1141061.5k

• xxlllq/system_architect

  :100: 2024年系统架构设计师（软考高级）备考资料。

  Language:HTML6.6k19501.8k

• 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:Python5.7k674621k

• xinliangnote/go-gin-api

  基于 Gin 进行模块化设计的 API 框架，封装了常用功能，使用简单，致力于进行快速的业务研发。比如，支持 cors 跨域、jwt 签名验证、zap 日志收集、panic 异常捕获、trace 链路追踪、prometheus 监控指标、swagger 文档生成、viper 配置文件解析、gorm 数据库组件、gormgen 代码生成工具、graphql 查询语言、errno 统一定义错误码、gRPC 的使用、cron 定时任务 等等。

  Language:Go5.6k69871.1k

• weiliu89/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++4.8k2361k1.7k

• xinliangnote/Go

  【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...

  Language:Go4.3k54141.2k

• 869413421/chatgpt-web

  基于ChatGPT3.5 API实现的私有化web程序

  Language:Go3.2k35125741

• Charmve/computer-vision-in-action

  A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

  Language:Jupyter Notebook2.5k3675380

• zuoqing1988/ZQCNN

  一款推理框架，同时有很多有用的demo，觉得好用请点星啊

  Language:C2.2k103165508

• chuanqi305/MobileNet-SSD

  Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

  Language:Python2k851951.2k

• cfzd/Ultra-Fast-Lane-Detection

  Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

  Language:Python1.8k27363492

• dunnousername/yanderifier

  First-Order-Wrapper (formerly known as Yanderify) is a front-end tool for first-order-motion. It aims to make using first-order-motion face animation accessible to everyone, for education and entertainment.

  Language:Python1.7k3881290

• Lam1360/YOLOv3-model-pruning

  在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

  Language:Python1.7k42104431

• megvii-model/ShuffleNet-Series

  Language:Python1.5k4461275

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.2k1568197

• eric612/MobileNet-YOLO

  A caffe implementation of MobileNet-YOLO detection network

  Language:C++86550264442

• jwchoi384/Gaussian_YOLOv3

  Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

  Language:C6652268179

• implus/GFocal

  Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

  Language:Python575134073

• chuanqi305/MobileNetv2-SSDLite

  Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

  Language:Python4462966231

• zhen8838/K210_Yolo_framework

  Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !

  Language:C248134473

• PRIS-CV/PMG-Progressive-Multi-Granularity-Training

  Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)

  Language:Python21662348

• PRIS-CV/OSLNet

  Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)

  Language:Python44504

• XJTUWYD/ShuffleDet

  this work is based on https://github.com/BichenWuUCB/squeezeDet, what different is that: - we changed squeezenet part in squeedet into shufflenetv2. - we build the classification task on ImageNet so you can pretrain the shufflenetv2 by yourself. - we do the quantization of weights and activitions and fusion the BN layer into convolution layer.

  Language:Python13135

• jiankang1991/CarND-Capstone-T3-SSD-MobileNetV2

  Self driving car capstone project based on ROS and light-weight traffic light detection CNN model

  Language:Python7200

• delassus/ROS-System-Integration

  This is a self driving car system for traffic light detection and car steering

  Language:Python3212

• suiandtang/hsweb-iot-cloud

  基于java8,spring-cloud,vertx的开源物联网云平台

  Language:JavaScript3200