whatisgithub

What is mit-linear-algebra-notes?

mlnlp-world/mit-linear-algebra-notes — explained in plain English

Analysis updated 2026-07-03

3,682Audience · generalComplexity · 1/5Setup · easy

In one sentence

A collection of illustrated Chinese-language student notes for the MIT Linear Algebra course, paired with each of the 35 lecture videos. Covers vectors, matrices, eigenvalues, and linear transformations in an approachable, diagram-heavy format.

Mindmap

mindmap
  root((mit-linear-algebra-notes))
    What it is
      Chinese student notes
      35 PDFs one per lecture
      Illustrated diagrams
    Topics
      Vectors and matrices
      Eigenvalues
      Vector spaces
      Orthogonality
    Who its for
      Chinese learners
      ML beginners
      Math students
    How to use
      Watch lecture then read PDF
      Contribute via pull request
      Open source
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Follow along with each of the 35 MIT Linear Algebra lecture videos using a matching illustrated PDF in Chinese.

USE CASE 2

Review key topics like eigenvalue decomposition, vector spaces, and orthogonality before starting a machine learning course.

USE CASE 3

Use the structured PDF notes as a quick-reference companion when working through the MIT 18.06 open course materials.

USE CASE 4

Contribute corrections or improved diagrams to an open-source math education resource.

What is it built with?

PDFMarkdown

How does it compare?

mlnlp-world/mit-linear-algebra-notesant-research/magicquillanomalyco/guide
Stars3,6823,6823,683
LanguagePythonSCSS
Setup difficultyeasyhardmoderate
Complexity1/54/53/5
Audiencegeneraldeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
No explicit license is stated, the repo accepts contributions and asks for removal of any copyrighted badge icons on request.

So what is it?

This repository contains student notes for the MIT Linear Algebra course, a well-known open course from MIT that covers the mathematics behind vectors, matrices, and systems of equations. The notes were created by a group of Chinese students and are written primarily in Chinese, paired directly with the 35 video lectures available on NetEase Open Course. The goal was to make the material more accessible to Chinese learners by providing readable, illustrated notes alongside each video. Linear algebra is one of the two foundational math courses in higher education, alongside calculus. It deals with vectors, vector spaces, linear transformations, determinants, eigenvalues, and related topics. These concepts appear constantly in fields like machine learning, computer graphics, data science, and physics. The MIT version of this course is especially popular because the professor explains ideas visually and intuitively, not just symbolically. Each row in the notes table links to one lecture video and one PDF of handwritten notes. The 35 lectures are organized progressively, starting from basic topics like solving systems of equations and matrix operations, then moving into deeper ideas like vector spaces, orthogonality, and eigenvalue decomposition. The notes use diagrams to keep explanations as approachable as possible. The project is open source and welcomes contributions. If you spot a mistake or want to improve a section, pull requests are accepted. The repository also notes that some badge icons were sourced from the internet and can be removed if there are copyright concerns. If you are learning linear algebra alongside the MIT video series and prefer explanations in Chinese, or if you want a structured PDF reference for each lecture topic, this collection offers a direct companion to the course.

Copy-paste prompts

Prompt 1
I'm studying the MIT Linear Algebra course (18.06). Explain eigenvalue decomposition step by step the way the MIT professor does, visually, not just symbolically.
Prompt 2
I'm on lecture 14 of MIT 18.06 about orthogonality and projections. What are the three key ideas I need to understand before moving on?
Prompt 3
Help me implement the core matrix operations from the MIT Linear Algebra course in Python using NumPy: dot product, matrix inversion, and eigenvalue computation.
Prompt 4
I want to understand why linear transformations matter for machine learning. Explain it in plain English without using the word 'matrix' at first.
Prompt 5
I'm reviewing the MIT Linear Algebra notes and stuck on vector spaces. What is a vector space in plain English, and what does 'basis' mean?

Frequently asked questions

What is mit-linear-algebra-notes?

A collection of illustrated Chinese-language student notes for the MIT Linear Algebra course, paired with each of the 35 lecture videos. Covers vectors, matrices, eigenvalues, and linear transformations in an approachable, diagram-heavy format.

What license does mit-linear-algebra-notes use?

No explicit license is stated, the repo accepts contributions and asks for removal of any copyrighted badge icons on request.

How hard is mit-linear-algebra-notes to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is mit-linear-algebra-notes for?

Mainly general.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.