yangmaoer

yangmaoer's Stars

• Bwar/Nebula

  Nebula is a powerful framwork for building highly concurrent, distributed, and resilient message-driven applications for C++.

  Language:C++552155

• 51nb/marble

  A high performance in-memory hive sql engine based on Apache Calcite

  Language:Java18445

• luohl364218/MySolution

  VS2015+QT5开发项目的demo，让更多人避免踩坑

  Language:C++3128

• mortalis13/List-Folders-Qt

  Qt version of List Folders (https://github.com/mortalis13/list-folders)

  Language:JavaScript4

• IBMStreams/samples

  This repository contains open-source sample applications for IBM Streams.

  Language:Java4073

• wangdachui/monitorRegion

  地理围栏，区域监测，临近警告

  Language:Objective-C75

• websocket-client/websocket-client

  WebSocket client for Python

  Language:Python3.6k766

• python-websockets/websockets

  Library for building WebSocket servers and clients in Python

  Language:Python5.2k513

• anyesu/websocket

  基于websocket实现浏览器端文本、视频、语音的即时通讯

  Language:JavaScript14092

• mortzdk/Websocket

  WSServer is a fast, configurable, and extendable WebSocket Server for UNIX systems written in C (C11).

  Language:C19967

• QingqiShi/YouKu-Stats-Website

  优酷空间数据统计网站

  Language:JavaScript1

• garyyang2000/geoDjango_research

  some examples on geoDjango, including sqlite, Openlayer 3.0, geojson and sqlite

  Language:HTML11

• ghing/neighborhood_population_density

  A reference geodjango + openlayers app to compare population density of neighborhoods.

  Language:JavaScript41

• festlv/geodjango-example

  Example application for GeoDjango, using OpenLayers for visualization.

  Language:JavaScript6

• cauethenorio/geodjango-gmaps-widget

  Google Maps v3 drop in replacement for the default Geodjango admin OpenLayers widget

  Language:JavaScript72

• terrestris/shogun-core

  SHOGun is a Java based WebGIS framework.

  Language:Java3224

• coderSkyChen/2016CCF_BDCI_Sougou

  【源码以及PPT分享】2016CCF大数据与计算智能大赛：精准营销中搜狗用户画像挖掘

  Language:Python201115

• jiabiao1602/Game_DataMining_With_R

  R语言游戏数据分析与挖掘

  Language:R5757

• TongzheZhang/DF-competition-sogou

  大数据精准营销中搜狗用户画像挖掘

  Language:Python3631

• airingursb/imooc-spider

  慕课网数据分析项目——数据挖掘

  Language:Python5418

• lyltj2010/DataMining

  数据挖掘开源书

  9243

• linyiqun/DataMiningAlgorithm

  数据挖掘18大算法实现以及其他相关经典DM算法

  Language:Java3.9k1.7k

• weiweifan/Big-Data-Resources

  大数据/数据挖掘/推荐系统/机器学习相关资源

  1.4k972

• guoshenglong/Furniture_Stefan

  百搭家居是一款基于增强现实(AR)技术的移动应用，并辅以用于宣传和搭配管理的Web客户端。用户通过移动设备将虚拟的3D家居摆放到真实的场景中，感受逼真的视觉效果；轻点移动设备屏幕便可轻松将喜爱的家居用品挪动到指定位置，对三维模型采用手势拖放变换其大小、角度及方位，摆脱传统家居搭配的烦恼。基于地理位置信息的3D物品摆放可使家居用品固定于现实空间，让移动设备可环绕整个房间布置所有的家居用品；云存储技术的引入使得用户可以在线获取家居模型数据；通过数据挖掘技术，对用户群体及个人的行为数据进行采集与分析，并提供商品的智能推荐，还可与他人分享自己的家居设计方案；同时使用自带的比价系统让用户能便捷地购买到价廉物美的家居用品。 总之，将增强现实、三维模型、触控操作、数据挖掘、社交网络等技术创新性地结合是百搭家居的主要亮点。百搭家居解决了用户在传统家居摆设搭配以及购买时面对的一些困难和不确定性，为家居用品的展示和交易提供一个全新的服务平台，并提供了更加真实便捷的用户体验。这款结合了行业前卫技术和全新用户体验的移动应用必将拥有广阔的市场前景。

  Language:Objective-C13976

• umap-project/umap

  uMap lets you create maps with OpenStreetMap layers in a minute and embed them in your site.

  Language:JavaScript1.2k220

• kodexp/geodjango

  geodjango tutorial setting up dev envi

  Language:Python1

• umap-project/django-leaflet-storage

  ARCHIVED! Now merged into umap itself. Create collaborative maps on top of Geodjango and Leaflet

  Language:Python10938

• SmileyChris/django-countries

  A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.

  Language:Python1.4k291

• appliedsec/pygeoip

  DEPRECATED: Pure Python API for Maxmind's binary GeoIP databases

  Language:Python482111

• geopy/geopy

  Geocoding library for Python.

  Language:Python4.4k644