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party2

pencil

The Pencil Project's unique mission is to build a free and opensource tool for making diagrams and GUI prototyping that everyone can use.

pholcus

Pholcus幽灵蛛是一款Go语言编写的爬虫软件框架（含GUI界面），优雅的爬虫规则、可控的高并发、任意的批量任务、多种输出方式、大量Demo，并且考虑了支持分布式布局。

plus-scraper

A small profile ID scraper for NodeJS

ppspider

web spider built by puppeteer, support task-queue and task-scheduling by decorators，support nedb / mongodb, support data visualization; 基于puppeteer的web爬虫框架，提供灵活的任务队列管理调度方案，提供便捷的数据保存方案（nedb/mongodb），提供数据可视化和用户交互的实现方案

prettier

Prettier is an opinionated code formatter.

project

proxy_pool

就是爬国内http代理网站的代理池

proxy_pool-1

A simple proxy pool

puppeteer-deep

Puppeteer, Headless Chrome；爬取《es6标准入门》、自动推文到掘金、站点性能分析；高级爬虫、自动化UI测试、性能分析；

puppeteer-extra

💯 Teach puppeteer new tricks through plugins.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-data-mining-platform

Automatically exported from code.google.com/p/python-data-mining-platform

react-router-cn

React Router V4 中文文档

react-zanpian

5d动漫，使用React，服务端渲染，接口来自赞片CMS。仅供参考，交流群：14646823 欢迎加入

real-time-person-removal

Removing people from complex backgrounds in real time using TensorFlow.js in the web browser

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

resume-to-job

A web application that takes in a user's resume as input, parses the key words using Google Cloud Vision API, and scrapes job search websites to recommend jobs that match the user's qualifications. Built using MongoDB, Express.js, and React.js.

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rocket.chat

The ultimate Free Open Source Solution for team communications.

roncoo-education

领课教育系统（roncoo-education）是基于领课网络多年的在线教育平台开发和运营经验打造出来的产品，致力于打造一个全行业都适用的分布式在线教育系统。系统采用前后端分离模式，前台采用vue.js为核心框架，后台采用Spring Cloud为核心框架。

screenity

The most powerful screen recorder & annotation tool for Chrome 🎥

semi-auto-segmentation-labelling-system

Author: Xu Liu Date: 02/18/2019 This is a semi-auto labelling software for those who work on image labelling. Input: Click the "Open" button, open the "image" directory and select the first image to start. After this step, the left canvas will display the original image with 50% transparence colored label on it. And the right canvas will display the labelled image with totally black ground and colorful foreground (one color, one instance). All the images in the "image" directory are the outputs(aka. prediction) of the segmentation deep neural network and are located at the "masks" directory. Most parts of the right image are labelled correctly by the neural network, what we need to do is just to revise it slightly. Instructions: 1. Click your right mouse button on the right image to pick a color (the color is corresponding to the pixel where your cursor locates) that you wish to revise on the left image. If there are instances that have not been labelled, you can click your right mouse button on the circular color palatte to pick a different color. 2. Move your cursor to right image, click at the place where you wish to revise the label, keep press the left mouse button and move it can draw curve lines, which can revise a large part. 3. The silder on the top of the two images can control the pen (or brush) size, when you need to paint (revise) a large part, you can move the slider a bit right to get a larger pen size. On the other hand, just move it left can be helpful for revising small part. 4. Click "Save" button on the right can save the revised image (the right one) as a 3 channels, 8 unsigned bits PNG format file at the "output" directory, which is in the same directory as the "images" directory. 5. Click "Next" button then the two canvas can refresh and load the next pair: image and label. Then just repeat the above operations.

session-based-recsys

Tutorials on session-based recommender systems

sixthsense

Open Source Codebase for project SixthSense

sketch.js

Cross-Platform JavaScript Creative Coding Framework

smm-

MH370标注文档

social-media-analyser

This is package includes a php subpackage for Twitter data collection via connection to streaming API, a python Annotation GUI for labelling the collected data and finally a Twitter analysis sub-package in python and java that are used in the CityPulse project.

spectrum

Simple, powerful online communities.