wangtz1994 Goto Github PK

aci

The implementation of the algorithm in the paper "Cost-effectively Identifying Causal Effects When Only Response Variable is Observable" published in ICML 2020.

alluxio

Alluxio, formerly Tachyon, Unify Data at Memory Speed

alluxio-pr-2017-fall

2017研究生MapReduce课程pr任务分配

awesome-causality-algorithms

An index of algorithms for learning causality with data

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causality

Tools for causal analysis

causaltree

Working repository for Causal Tree and extensions

creating-enron-spam-corpus-from-raw-data

Using raw data of Enron spam datasets to create a corpus using python, nltk and shell script.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

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.

enronemails

Enron Email Sentiment Analysis Project

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

game_simulation

Repo for Simulating Basketball Games

gensim

Topic Modelling for Humans

github-help

Chinese translation of the Github Help(https://help.github.com/index.html) and the other article collection. 《Github 帮助文档》 中文翻译（包含了官方文档以及其他文章）。

images

:exclamation: This is a read-only mirror of the CRAN R package repository. IMaGES — Independent Multiple-Sample Greedy Equivalence Search Implementation

kindle_free_books

免费的Kindle电子书资源，不定期更新...

m3hc

mltm

nonlinearicp-and-condindtests

Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016) to nonlinear settings.

pag2admg

Method to transform a PAG to its full Markov equivalent set of ADMGs

pcalg

CPDAG Estimation using PC-Algorithm

pcalg-1

:exclamation: This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: http://pcalg.r-forge.r-project.org/

qix

Node.Js、Golang、Machine Learning、PostgreSQL、Deep Learning

sense2vec

🦆 Use NLP to go beyond vanilla word2vec

sublime-text

sublime-text

tetrad

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

vi_vae_gmm

Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan