10 GitHub Repositories to Master Math

Mathematics forms the backbone of numerous fields, including machine learning, data science, physics, and engineering. While you can fine-tune pre-trained machine learning models easily, building state-of-the-art architectures from scratch requires a deep understanding of math. Without it, tasks like statistical testing or solving complex problems become impossible, reducing you to just a coder rather than an engineer or data scientist.

To help you master mathematics this blog explores 10 GitHub repositories that you can access for free without signing up. These repositories offer roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.

1. TalalAlrawajfeh/mathematics-roadmap

 
Link: TalalAlrawajfeh/mathematics-roadmap

If you are seeking a structured and comprehensive guide to learning mathematics, this repository is an excellent starting point. It offers a roadmap for mastering various mathematical concepts, covering topics from basic arithmetic to advanced fields such as calculus, linear algebra, and differential equations. Additionally, it includes an image that visually represents a roadmap, indicating where to start and which topics to cover first.

2. ManimCommunity/manim

 
Link: ManimCommunity/manim

Visualizing mathematical concepts can significantly enhance understanding, and that’s where Manim excels. This Python framework enables users to create stunning mathematical animations. It allows for the programmatic creation of precise animations, as demonstrated in the videos by 3Blue1Brown. Whether you are a teacher producing educational content or a student trying to visualize complex equations, Manim is a powerful tool for bringing math to life.

3. CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

 
Link: CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Bayesian statistics can be intimidating, but this repository makes it accessible. It introduces Bayesian methods and probabilistic programming with an emphasis on computation and understanding. Written in Python, the repository includes practical examples that are perfect for anyone looking to learn Bayesian statistics through hands-on experience. It also features Jupyter notebooks that provide both code and explanations.

4. Experience-Monks/math-as-code

 
Link: Experience-Monks/math-as-code

For programmers, mathematical notation can sometimes feel like a foreign language. This repository bridges the gap by providing a cheat sheet for translating mathematical notation into code (Javascript and Python). It’s an invaluable resource for anyone working on algorithms, machine learning, or any math-heavy programming tasks.

5. mml-book/mml-book.github.io

Link: mml-book/mml-book.github.io

This repository is the companion to the book “Mathematics for Machine Learning”, which is a must-read for anyone diving into machine learning. It covers the mathematical foundations of ML, including linear algebra, calculus, and probability. The repository includes resources, exercises, and code examples to help you solidify your understanding.

6. rossant/awesome-math

 
Link: rossant/awesome-math

If you are searching for a comprehensive collection of top-notch math resources, Awesome Math is the perfect repository. It features a curated list of books, YouTube videos, tools, learning platforms, courses, blogs, and resources spanning various branches of mathematics. Whether you are diving into pure or applied math, this repository has something valuable for everyone.

7. ossu/math

 
Link: ossu/math

The Open Source Society University (OSSU) provides a free, self-directed education in mathematics through its repository. It offers a structured curriculum that includes links to free online courses, textbooks, and exercises. If you are seeking a college-level math education at no cost, this is the ideal resource for you. By following the curriculum, you will learn from instructors at renowned institutions such as Harvard, MIT, and Stanford. This resource is maintained by a community, ensuring that you receive updated materials and guidance.

8. dair-ai/Mathematics-for-ML

 
Link: dair-ai/Mathematics-for-ML

This repository is a collection of resources specifically designed to help you learn the mathematics needed for machine learning. It includes books, papers, tutorials, videos, and articles on topics like linear algebra, calculus, and probability. If you are a data science beginner, this is a must-have resource.

9. jonkrohn/ML-foundations

 
Link: jonkrohn/ML-foundations

This repository focuses on the foundational concepts of machine learning, covering topics such as linear algebra, calculus, statistics, and computer science. It is designed for individuals who want to establish a strong mathematical groundwork for machine learning. The repository includes code examples and practical applications associated with Jon Krohn’s Machine Learning Foundations curriculum.

10. pim-book/programmers-introduction-to-mathematics

 
Link: pim-book/programmers-introduction-to-mathematics

This repository contains the code examples from the book “A Programmer’s Introduction to Mathematics” and is ideal for programmers looking to deepen their understanding of math. It covers topics like number theory, algebra, and geometry, with a focus on applying these concepts in programming 

Conclusion

 
Learning math using GitHub repositories is a new and easier way to enhance your skills. These repositories are maintained by the community, ensuring that you have access to updated educational resources. Moreover, you can learn at your own pace while gaining high-quality content for free. In this article, we have covered 10 GitHub repositories that can help you master math for computer science, data science, machine learning, and engineering. Each repository includes links to books, courses, roadmaps, and other important resources.
 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.