Pinned Repositories
AmericaOpposeAmerica
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。
Business_Application
causal_inference_evaluation
Causal Inference Evaluation Suite
dataset
defuse
Nonlinear Causal Discovery with Confounders
KFLServlet
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
MediaCrawler
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫
PCIC2021_causal_discovery_dmirlab
ZJU_SummerSchool_ProjectTemplate
xwbxxx's Repositories
xwbxxx/dataset
xwbxxx/KFLServlet
xwbxxx/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
xwbxxx/MediaCrawler
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫
xwbxxx/PCIC2021_causal_discovery_dmirlab
xwbxxx/ZJU_SummerSchool_ProjectTemplate
xwbxxx/AmericaOpposeAmerica
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。
xwbxxx/Business_Application
xwbxxx/defuse
Nonlinear Causal Discovery with Confounders
xwbxxx/docker
⛴ Docker image of Nextcloud
xwbxxx/docker-drag
Download image from the Docker Hub HTTPS API
xwbxxx/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.
xwbxxx/echarts-for-react
⛳️ Apache ECharts components for React wrapper. 一个简单的 Apache echarts 的 React 封装。
xwbxxx/fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
xwbxxx/grf
Generalized Random Forests
xwbxxx/IDYNO_reproduce
xwbxxx/iVAE
VAEs and nonlinear ICA: a unifying framework
xwbxxx/news-search-engine
新闻搜索引擎
xwbxxx/NTS-NOTEARS
Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
xwbxxx/PCIC-2021-Track1
PCIC 2021 Track1: Causal Discovery
xwbxxx/Personal-Summary
Learning from https://www.boyuai.com/
xwbxxx/player-embedding-ice-hockey
xwbxxx/pplication
test
xwbxxx/py-causal
xwbxxx/RCA-AIOps
The algorithms about root cause analysis/localization/diagnosis in AIOps.
xwbxxx/SCIGAN
Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar
xwbxxx/Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
xwbxxx/tetrad
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
xwbxxx/varying-coefficient-net-with-functional-tr
[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
xwbxxx/WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS