Pinned Repositories
12306
12306智能刷票，订票
Applied-Econometrics
DSGE/CGE/VAR/DID/RD/IV/Panel Data
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
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。
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
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.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
pyblp
BLP Demand Estimation with Python 3
Quinlan2018's Repositories
Quinlan2018/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
Quinlan2018/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Quinlan2018/pyblp
BLP Demand Estimation with Python 3
Quinlan2018/12306
12306智能刷票，订票
Quinlan2018/Applied-Econometrics
DSGE/CGE/VAR/DID/RD/IV/Panel Data
Quinlan2018/Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
Quinlan2018/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。
Quinlan2018/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Quinlan2018/c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
Quinlan2018/CapitalStock
Quinlan2018/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。
Quinlan2018/DataCrawlers
Quinlan2018/demo1
Quinlan2018/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. )
Quinlan2018/gcam-core
GCAM -- The Global Change Analysis Model
Quinlan2018/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！
Quinlan2018/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。
Quinlan2018/ISO-3166-Countries-with-Regional-Codes
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
Quinlan2018/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！
Quinlan2018/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
Quinlan2018/Python-100-Days
Python - 100天从新手到大师
Quinlan2018/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Quinlan2018/python-small-examples
Python有趣的小例子、小Demo一网打尽。Python基础、Web开发、数据科学、机器学习、TensorFlow、Pytorch，一切都是简单易懂的小例子。
Quinlan2018/qunar_spider
爬取去哪儿网
Quinlan2018/SDMX
SDMX Connectors
Quinlan2018/StataTutorialAppendixData
Appendix Data for my Stata Tutorial.
Quinlan2018/Structural-Gravity
R codes to "An Advanced Guide to Trade Policy Analysis: The Structural Gravity Model"
Quinlan2018/summer_course_2019
QuantEcon-RSE Intensive Course on Computational Modeling
Quinlan2018/taobao_spider
爬取淘宝商品信息
Quinlan2018/WechatSogou
基于搜狗微信搜索的微信公众号爬虫接口