湖大~杜敏 (ZSCDumin)

ZSCDumin

Geek Repo

Company:湖南大学信科院

Location:湖南省长沙市

Home Page:https://zscdumin.github.io

Github PK Tool:Github PK Tool

湖大~杜敏's repositories

AndroidDevelopmentSummary

安卓开发总结——附带VPN翻墙

Language:JavaLicense:NOASSERTIONStargazers:226Issues:18Issues:2

HunanUniversity

湖南大学考研资料(考上了记得请我吃饭)

Language:HTMLLicense:Apache-2.0Stargazers:80Issues:3Issues:4

VPN

ShadowSocks 翻墙(收费服务器:120元/年,1T流量,可看1080p视频。需要的可以联系微信:Dumin2712220318 )

causal-inference-books

因果推断相关论文、书籍

License:Apache-2.0Stargazers:41Issues:3Issues:0

BCORLE

BCORLE( λ ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market

Language:Jupyter NotebookStargazers:8Issues:2Issues:1

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

SmartLand

智慧耕地平台后端代码

Language:JavaStargazers:1Issues:1Issues:0
Language:PythonStargazers:1Issues:2Issues:0

Attentive-Group-Recommendation

Attentive Group Recommendation

Language:PythonStargazers:0Issues:1Issues:0
Language:PythonLicense:MITStargazers:0Issues:1Issues:0

CoCo

Conditional Causal Optimization (CoCo)

Language:PythonLicense:MITStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:2Issues:0

ebal-py

Python implementation of Entropy Balancing for binary and continuous treatment

Language:PythonStargazers:0Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:1Issues:0

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. )

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

GANITE

Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

Language:PythonStargazers:0Issues:1Issues:0

gopickle

Go library for loading Python's data serialized with pickle and PyTorch module files.

Language:GoLicense:BSD-2-ClauseStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0

IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

LR-GCCF

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Language:PythonStargazers:0Issues:1Issues:0

M5_Forecasting_Accuracy

M5 Forecasting - Accuracy Estimate the unit sales of Walmart retail goods https://www.kaggle.com/c/m5-forecasting-accuracy/data

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

NeuHash-CF

Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020

Language:PythonStargazers:0Issues:1Issues:0

NeuRec

Next RecSys Library

Language:PythonStargazers:0Issues:1Issues:0

NLR

Neural Logic Reasoning

Language:PythonStargazers:0Issues:1Issues:0

online-causal-models

Accompanying code for the paper "Learning Causal Models Online"

Language:PythonStargazers:0Issues:1Issues:0

RSPapers

Must-read papers on Recommender System.

License:MITStargazers:0Issues:1Issues:0

seckill

苗苗 约苗 九价 秒杀 脚本

Language:JavaStargazers:0Issues:0Issues:0

statistic

collecting books, papers and docs.

Stargazers:0Issues:1Issues:0

tecent_ad

2020腾讯广告算大

Language:PythonStargazers:0Issues:1Issues:0

trustworthyAI

trustworthy AI related projects

Language:PythonStargazers:0Issues:1Issues:0