chenjianlei's starred repositories
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
transportation_networks_of_china
Datasets that cover the road and rail transportation networks in China
China-prefecture-distance
地级行政区间的公路距离数据,取自百度地图API。Distances between prefectures in China retrieved by using BaiduMap API
OpenNightLights
Collection of tools and training materials for exploring the open Nighttime Lights repository
ChinaAdminDivisonSHP
**行政区划矢量图,ESRI Shapefile格式,共四级:国家、省/直辖市、市、区/县。关键字:**行政区划图;**地图;**行政区;**行政区地图;行政区地图;行政区;行政区划;地图;矢量数据;矢量地理数据;省级;直辖市;市级;区/县级;行政区划图。
weiboSpider
新浪微博爬虫,用python爬取新浪微博数据
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
spider-BaiduIndex
data sdk for baidu Index
WeiboSuperSpider
微博爬虫及配套工具箱,微博用户、话题、评论采集一网打尽。图片下载、情感分析,地理位置、关系网络、spammer 机器人识别等功能应有尽有。Docs:https://buyixiao.github.io/blog/weibo-super-spider.html 配套可视化网站:https://buyixiao.github.io/blog/one-stop-weibo-visualization.html
WeiboSpider
持续维护的新浪微博采集工具🚀🚀🚀
province-city-china
🇨🇳最全最新**【省、市、区县、乡镇街道】json,csv,sql数据
china_area
2024年**全国5级行政区划(省、市、县、镇、村)
New-Bing-Anywhere
💬 New-Bing-Anywhere extension's source Always use Bing GPT-4
Blog-Posts
Code and notebooks for my Medium blog posts
causalTree
Working repository for Causal Tree and extensions
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
nlp-tutorial
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
nlp-beginner-finish
此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务,所有代码都经过测试,可以正常运行。
keyword_extraction
利用Python实现中文文本关键词抽取,分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。