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Stars gained: From May 13, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 11, 2026, each from zero01K2KMay 13Nov 11, 2026dsgiitr/d2l-pytorchGokuMohandas/Made-With-ML
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 25Nov 11, 2026dsgiitr/d2l-pytorchGokuMohandas/Made-With-ML

Facts

Fact dsgiitr/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

GokuMohandas/Made-With-ML

Learn how to develop, deploy and iterate on production-grade ML applications.

Stars 4,36749,998
Net stars, last 30 days +4+302
Largest star day +2 on Jul 22, 2026+73 on Jun 14, 2026
Milestone reached in the record NoneNone
Forks 1,2297,823
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0MIT
Created May 11, 2019Nov 5, 2018
Last push Jul 25, 2024Mar 4, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 0 of 3 checks (2 without data)2 of 3 checks
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 data1 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, data-science, pytorch. 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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