foo-bar-baz-qux Goto Github PK

2015lab1

2016

aml-project

Recidivism of criminal offenders

atom-script

:runner: Run ( scripts | selections | source ) in Atom

ci_test

concept-to-clinic

ALCF Concept to Clinic Challenge

cs205-homework

cs207

Harvard CS207

devtools

Tools to make an R developer's life easier

dplyr

Dplyr: A grammar of data manipulation

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.

extreme-computing

foo-bar-baz-qux.github.io

Frontpage

ggplot2

An implementation of the Grammar of Graphics in R

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

mygithubpage

numpy

Numpy main repository

paletter

build your palette from a picture

rstan

RStan, the R interface to Stan

scales

Graphical scales

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

stm

An R Package for the Structural Topic Model