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  • 👋 Hi, I’m @dongshuai191
  • 👀 I’m interested in reading
  • 🌱 I’m currently learning python
  • 💞️ I’m looking to collaborate on web crawler
  • 📫 How to reach me My email address is [email protected]

I hope learn more knowledge about programming in github.I am a new boy.

dongshuai191's Projects

3d-tiles icon 3d-tiles

Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

awesome-cpp icon awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-gis icon awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

b-seg icon b-seg

Code for our SIGGRAPH'2023 paper: "UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation"

csapp-labs icon csapp-labs

Solutions and Notes for Labs of Computer Systems: A Programmer's Perspective 3rd Editon // 《深入理解计算机系统》第三版的实验文件、解答与笔记

flaash icon flaash

利用IDL实现对GF-1/GF-2数据的Flaash大气校正与正射校正

gdal icon gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

learn_python3_spider icon learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等

mltemplate icon mltemplate

机器学习(Machine Learning, ML)python简洁实现,包括混合高斯模型,KMeans,决策树,随机森林,K近邻,线性判别分析,逻辑斯蒂回归(梯度下降法,牛顿法),多层感知机(分类+回归),Naive Bayes(离散+高斯),多分类SVM,线性回归,隐马尔可夫模型(包括前向算法,后向算法,Viterbi算法和BaumWelch算法),主成分分析等模型

pansharpen icon pansharpen

hsv pca ish brovey gs 方法对遥感影像的融合

pvz icon pvz

植物大战僵尸Qt版

python-gis icon python-gis

使用osgeo库进行遥感,地信方面的处理操作

techniques icon techniques

Techniques for deep learning with satellite & aerial imagery

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