chenjinalei

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

geopandas

Python tools for geographic data

geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

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

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

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

gopup

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

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

Enterprise-Registration-Data-of-Chinese-Mainland

Blog-Posts

Code and notebooks for my Medium blog posts

causalTree

Working repository for Causal Tree and extensions

grf

Generalized Random Forests

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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.

causalml

Uplift modeling and causal inference with machine learning algorithms

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。

bigdata

NJU Master Course **Big Data Mining and Analysis**

Familia

A Toolkit for Industrial Topic Modeling

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。

TF-IDF_txt_similarity