GaoFangshu's Stars
gohugoio/hugo
The world’s fastest framework for building websites.
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
XX-net/XX-Net
A proxy tool to bypass GFW.
docsifyjs/docsify
🃏 A magical documentation site generator.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Anuken/Mindustry
The automation tower defense RTS
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
py-why/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.
docsifyjs/awesome-docsify
💖 A curated list of awesome things related to docsify
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Siricee/hexo-theme-Chic
An elegant, powerful, easy-to-read Hexo theme.
ppoffice/hexo-theme-minos
A simple and retro styled Hexo theme, concentrated more on your ideas.
Terminus2049/Not-exist-in-douban
豆瓣不存在的书影音
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
ALawating-Rex/AreaAndBanks
**省市区以及银行和银行支行等数据
jtextor/dagitty
Graphical analysis of structural causal models / graphical causal models.
sampsyo/ppl-intro
probabilistic programming for PL folks
d909b/cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Wikidata/soweego
Link Wikidata items to large catalogs
neozhangthe1/disambiguation
morningmoni/TaxoRL
Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018
WenyanLiu/apprenticeship
A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
yelongshen/GraphWalk
xuanyin/causal-mediation-analysis-for-ab-tests
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
sanghack81/SCMMAB-NIPS2018
Structural Causal Bandit
bj80heyue/Learning-to-Group
Merge or Not? Learning to Group Faces via Imitation Learning
bwilder0/fair_influmax_code_release
Code for the paper "Group-Fairness in Influence Maximization"
silkroading/province-city-china
🇨🇳最全最新**【省、市、区县、乡镇街道】json,csv,sql数据
wikimedia-research/wikimedia-research.github.io
Homepage for Wikimedia Research organization on GitHub