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Stars gained: From May 8, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 11, 2026, each from zero0100200May 8Nov 11, 2026py-why/EconMLaymericdamien/TensorFlow-Examples
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 11, 2026py-why/EconMLaymericdamien/TensorFlow-Examples

Facts

Fact 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.

aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Stars 4,85043,735
Net stars, last 30 days +46+6
Largest star day +9 on Jun 29, 2026+5 on Jun 10, 2026
Milestone reached in the record NoneNone
Forks 83414,607
Language Jupyter NotebookJupyter Notebook
License Other licenseOther license
Created Apr 30, 2018Nov 11, 2015
Last push Nov 9, 2026Jul 26, 2024
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 2 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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