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jingong

jingong

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jingong's repositories

Algorithm

暴力、递归与分治、动态规划、贪心算法、回溯经典习题

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Didi

出租车后台管理系统 集成百度地图API

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WeChat

仿微信客户端 自带服务器

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MyNews

Android新闻客户端

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PIM

个人信息管理系统 Struts2.1+hibernate4.1+MySql+MyEclispe.包括：个人信息管理、通讯录、日程安排、文件上传

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MyBlog

基于Struts+Hibernate+BootStrap+EasyUI的个人博客系统 包括前端和后台 编译器采用IDEA

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Contacter

上传项目

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SSL-File-Transmission

基于RSA的文件加密传输 采用先把文件生成本地文件再传输的方式 服务器收到以后也需要先解密文件才能使用

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TourProject

模仿QQ空间，包括前端和后台，主持图片和音乐的上传，记录的删除

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-Api

「一个」、「Time 时光」、「开眼」、「一席」、「梨视频」、「微软必应词典」、「金山词典」、「豆瓣电影」、「**天气」、「魅族天气」、「每日一文」、「12306」、「途牛」、「快递100」、「快递」应用 Api。仅供学习，禁止商业使用，侵权请联系删除。

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2s-AGCN

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

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AS-GCN

The model architecture of AS-GCN (for human action recognition)

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BMIProject

身高体重指数测量系统

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face-login

基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

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fanqiang

翻墙-科学上网

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Fast-Drone-250

hardware and software design of the 250mm autonomous drone

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GestureiOSData

ML repo for teeth gesture classification

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HGP-SL

Hierarchical Graph Pooling with Structure Learning(AAAI-2020)

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Home

“乡吧”社区交流项目Android端代码

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incremental_detectors

Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

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pygcn

Graph Convolutional Networks in PyTorch

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RxTools

Android开发人员不得不收集的工具类集合 | 支付宝支付 | 微信支付（统一下单） | 微信分享 | 一键集成UCrop选择圆形头像 | 一键集成二维码和条形码的扫描与生成 | 常用Dialog | WebView的封装可播放视频 | 仿斗鱼滑动验证码 | Toast封装 | 震动 | GPS | Location定位 | 压缩与加密 | 图片缩放 | Exif 图片添加地理位置信息（经纬度） | 蛛网等级 | 颜色选择器 | 编译运行一下说不定会找到惊喜

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Skeleton-Based-Action-Recognition-Papers

The paper list about skeleton-based action recognition.

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st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

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TS-TCN

Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition

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Tuyi

基于位置信息，空间时间结合的社交与分享的应用。

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WeChat.NET

WeChat.NET client based on web wechat

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WeiKanDian

新闻资讯类Android客户端（Rxjava + Retrofit2.0 + Lambda + GreenDao）

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YiZhi

MVP+RxJava2+Retrofit2+Glide+Rxbus，主要实现日报、新闻、干货、影视等资讯，个人项目

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YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

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