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quinlan2018's Projects

awesome-hacking icon awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-python icon awesome-python

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

awesome-python-cn icon awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由「开源前哨」和「Python开发者」微信公号团队维护更新。

blp-demand icon blp-demand

estimate BLP demand model in Matlab using state-of-the-art techniques

blp-demand-estimation icon blp-demand-estimation

Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.

blp_1995_car_market icon blp_1995_car_market

Estimation of product demand in car market, using random coefficient model from Berry, Levinsohn and Pakes (1995). Code written in Matlab.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

demo icon demo

codes about spiders by python

examples-of-web-crawlers icon examples-of-web-crawlers

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

infospider icon infospider

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、**移动、**联通、**电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源**博客、简书。

interesting-python icon interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

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,爬虫项目实战实例等

machine-learning-book icon machine-learning-book

《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!

pagerank icon pagerank

Write a function called pagerank to calculate the PageRank of all nodes of a graph. Input: G - Networkx Directed Graph Object max_iter - Number of Iterations (should have some default value) d - damping parameter (should have some default value) has_weight - boolean to be set if using a weighted graph (should have some default value) Output: A dict where key is a node and values is the pagerank value Note: The function should Create Transiston Matrix, A Create initial vector, v0 Write update equation, Av0 = v1 Write convergence condition, number of iterations or no change in page rank values Iteratively update the PageRank values until convergence condition has been reached Make sure you add checks for things that may not make your algorithm to run (e.g., Graph is empty). If for some reason PageRank cannot be executed, it should fail elegantly

pagerank-algorithm icon pagerank-algorithm

Matlab Implementations of the simple pageRank algorithm and weighted pageRank Algorithm

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