Is Math-Model-and-Machine-Learning open source?

Yes — QInzhengk/Math-Model-and-Machine-Learning is an open-source project tracked on heatdrop.

What language is Math-Model-and-Machine-Learning written in?

QInzhengk/Math-Model-and-Machine-Learning is primarily written in Jupyter Notebook.

How popular is Math-Model-and-Machine-Learning?

QInzhengk/Math-Model-and-Machine-Learning has 609 stars on GitHub.

Where can I find Math-Model-and-Machine-Learning?

QInzhengk/Math-Model-and-Machine-Learning is on GitHub at https://github.com/QInzhengk/Math-Model-and-Machine-Learning.

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QInzhengk/Math-Model-and-Machine-Learning

A math competition champ's study notes, open-sourced

A first-prize math modeler open-sourced their personal archive to help Chinese students survive modeling competitions and AI coursework.

★609 stars Jupyter Notebook Learning

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What it does This repository is a curated personal knowledge base turned public archive. It aggregates past competition problems, award-winning papers, textbooks, templates, and algorithms spanning mathematical modeling, college math competitions, machine learning, deep learning, and large language models. The author—a Huawei Cup first-prize winner and national math competition medalist—also tosses in general computer-learning extras like Java and Office guides.

The interesting bit The README doubles as a social-media funnel: WeChat public-account QR codes, QQ group invites, and a personal blog link are baked right into the file tree, turning a GitHub repo into the gateway for a Chinese student learning community. It is also refreshingly honest about its limits, admitting that files over 25 MB are omitted from Git and that some materials are unvetted internet downloads flagged for removal if infringing.

Key highlights

Covers major Chinese and international math modeling competitions (CUMCM, MCM/ICM, MathorCup, APMCM, etc.) with official problems and exemplary papers
Includes ML, deep learning, and large-model study materials alongside competition math resources
Provides ready-made templates, classic textbooks, courseware, and algorithm references in one nested file tree
Maintained by a credentialed peer (Gaokao math 144, national competition first prize) rather than an institution
Active satellite community via WeChat, QQ, and Zhihu for files too large to host on GitHub

Caveats

Files larger than 25 MB are not in the repo; some materials must be fetched via the author’s WeChat public account
The to-do list shows unchecked items, suggesting sections on competition papers and AI content are still incomplete
Explicitly notes that some materials are sourced from the internet and may carry copyright risks

Verdict Worth a bookmark if you are a Chinese-speaking student prepping for math modeling competitions or want a peer-curated AI study guide. Skip it if you need production code, original research implementations, or English-language documentation.

Frequently asked

What is QInzhengk/Math-Model-and-Machine-Learning?: A first-prize math modeler open-sourced their personal archive to help Chinese students survive modeling competitions and AI coursework.
Is Math-Model-and-Machine-Learning open source?: Yes — QInzhengk/Math-Model-and-Machine-Learning is an open-source project tracked on heatdrop.
What language is Math-Model-and-Machine-Learning written in?: QInzhengk/Math-Model-and-Machine-Learning is primarily written in Jupyter Notebook.
How popular is Math-Model-and-Machine-Learning?: QInzhengk/Math-Model-and-Machine-Learning has 609 stars on GitHub.
Where can I find Math-Model-and-Machine-Learning?: QInzhengk/Math-Model-and-Machine-Learning is on GitHub at https://github.com/QInzhengk/Math-Model-and-Machine-Learning.