湖大~杜敏's repositories
AndroidDevelopmentSummary
安卓开发总结——附带VPN翻墙
HunanUniversity
湖南大学考研资料(考上了记得请我吃饭)
causal-inference-books
因果推断相关论文、书籍
scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
Attentive-Group-Recommendation
Attentive Group Recommendation
ebal-py
Python implementation of Entropy Balancing for binary and continuous treatment
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.
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. )
M5_Forecasting_Accuracy
M5 Forecasting - Accuracy Estimate the unit sales of Walmart retail goods https://www.kaggle.com/c/m5-forecasting-accuracy/data
NeuHash-CF
Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020
online-causal-models
Accompanying code for the paper "Learning Causal Models Online"
seckill
苗苗 约苗 九价 秒杀 脚本
trustworthyAI
trustworthy AI related projects