Top 11 Must‑See GitHub Projects of April 2024
Discover the eleven most popular GitHub repositories of April, ranging from the 996.ICU protest project and university course collections to algorithm libraries, design tools, and essential Java and Python guides, each highlighted with stars, links, and brief descriptions.
1. 996.ICU
https://github.com/996icu/996.ICU – Star 5881. This repository is unrelated to technology but directly concerns programmers, protesting the domestic "996" work schedule.
2. libpku
https://github.com/lib-pku/libpku – Star 15820. Created by a Peking University student, it aggregates course materials covering major, elective, political, and English courses, including past exam papers.
3. Python Algorithms
https://github.com/TheAlgorithms/Python – Star 32270. Implements a comprehensive collection of sorting algorithms in Python, such as insertion sort, bubble sort, quick sort, selection sort, and merge sort.
4. support.996.ICU
https://github.com/MSWorkers/support.996.ICU – Star 8560. A joint open letter from hundreds of Microsoft and GitHub engineers supporting the 996.ICU movement, inviting contributors to add their names in the README.
5. zju-icicles
https://github.com/QSCTech/zju-icicles – Star 10464. Zhejiang University’s course‑sharing plan covering AI, Java applications, operating systems, databases, and more.
6. Editor.js
https://github.com/codex-team/editor.js – Star 7574. A block‑styled editor that returns clean JSON and offers a simple, extensible API.
Block‑styled editor
Returns clean JSON
Simple, extensible API
7. JavaGuide
https://github.com/Snailclimb/JavaGuide – Star 37744. A comprehensive Java learning guide covering core knowledge required by most Java developers.
8. Awesome-Design-Tools
https://github.com/LisaDziuba/Awesome-Design-Tools – Star 14894.
This collection gathers excellent design tools, including animation, AR, font, gradient, and code tools.
9. git-tips
https://github.com/521xueweihan/git-tips – Star 8756. Lists common Git commands and tricks, dubbed "Git's secret techniques".
10. pumpkin‑book
https://github.com/datawhalechina/pumpkin-book – Star 5750. A supplement to the classic "Machine Learning" textbook (the "Watermelon Book") by Prof. Zhou Zhihua.
11. nndl.github.io
https://github.com/nndl/nndl.github.io – Star 7109. Provides a neural networks and deep learning course covering fundamentals, major models, and applications in computer vision and NLP.
Appendix:
2019年3月GitHub上最热门的开源项目 2019年2月GitHub上最热门的开源项目 2019年1月份GitHub上最热门的开源项目
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