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Stars gained: From May 19, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 19, 2026 to Nov 14, 2026, each from zero02040May 19Nov 14, 2026SkalskiP/ILearnDeepLearning.pyCharmve/computer-vision-in-action
Stars: The star count at the end of each dayStarsThe star count at the end of each day2KMay 8Nov 14, 2026SkalskiP/ILearnDeepLearning.pyCharmve/computer-vision-in-action

Facts

Fact SkalskiP/ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Charmve/computer-vision-in-action

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

Stars 1,4152,873
Net stars, last 30 days +3+6
Largest star day +3 on Jun 24, 2026+4 on Sep 20, 2026
Milestone reached in the record NoneNone
Forks 458402
Language Jupyter NotebookJupyter Notebook
License MITOther license
Created Aug 10, 2018Apr 29, 2021
Last push Dec 10, 2023May 27, 2024
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 1 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 13, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: neural-network, deep-learning, deep-learning-tutorial, computer-vision. 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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