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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 13, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 12, 2026, each from zero0200400May 13Nov 12, 2026teddylee777/machine-learningNyandwi/machine_learning_complete
Stars: The star count at the end of each dayStarsThe star count at the end of each day3K4K5KMay 12Nov 12, 2026teddylee777/machine-learningNyandwi/machine_learning_complete

Facts

Fact teddylee777/machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Nyandwi/machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Stars 3,2935,051
Net stars, last 30 days +9+4
Largest star day +119 on Jul 15, 2026+3 on Jun 19, 2026
Milestone reached in the record None5,000 on Jul 15, 2026
Forks 935837
Language Jupyter NotebookJupyter Notebook
License No licenseMIT
Created Sep 2, 2018Sep 25, 2021
Last push Aug 13, 2025Sep 22, 2023
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 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 11, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: machine-learning, python, tensorflow, pandas, deep-learning, 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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