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Stars gained: From May 12, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 11, 2026, each from zero0100200May 12Nov 11, 2026amanchadha/coursera-deep-learning-specializationmicrosoft/computervision-recipes
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K7.5K10KMay 10Nov 11, 2026amanchadha/coursera-deep-learning-specializationmicrosoft/computervision-recipes

Facts

Fact amanchadha/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

microsoft/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

Stars 4,4199,888
Net stars, last 30 days +30+7
Largest star day +5 on Jul 6, 2026+4 on Sep 16, 2026
Milestone reached in the record NoneNone
Forks 2,6771,202
Language Jupyter NotebookJupyter Notebook
License No licenseMIT
Created Jun 24, 2020Feb 11, 2019
Last push Jun 10, 2026Feb 16, 2024
Archived NoYes
Health facts: Maintenance 1 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 0 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 10, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: deep-learning, convolutional-neural-networks. 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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