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Stars gained: From Apr 25, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 25, 2026 to Nov 4, 2026, each from zero01KApr 25Nov 4, 2026microsoft/nnid2l-ai/d2l-en
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K30KApr 25Nov 4, 2026microsoft/nnid2l-ai/d2l-en

Facts

Factmicrosoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Stars14,36430,000
Net stars, last 30 days+3+252
Largest star day+3 on May 16, 2026+18 on Sep 22, 2026
Milestone reached in the recordNoneNone
Forks1,8505,153
LanguagePythonPython
LicenseMITOther license
CreatedJun 1, 2018Oct 9, 2018
Last pushJul 3, 2024Aug 18, 2024
ArchivedYesNo
Health facts: Maintenance0 of 4 checks1 of 4 checks
Health facts: Releases0 of 3 checks1 of 3 checks
Health facts: Security practice1 of 1 check0 of 1 check
Health facts: Community files2 of 3 checks3 of 3 checks
Commits, last 13 weeks00
Weeks with commits, last 520 of 520 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, hyperparameter-optimization, machine-learning, data-science, tensorflow, pytorch, python. 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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