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video video |
|---|
ML/Math Lecture Archive
Archived lecture videos (1080p MP4) with English subtitles (.vtt) from publicly
available university course recordings on YouTube.
177 videos, ~62 GB.
Contents
| Folder | Course | Videos |
|---|---|---|
18.065_Strang/ |
MIT 18.065 — Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Gilbert Strang) | 36 |
CS109_Piech/ |
Stanford CS109 — Introduction to Probability for Computer Scientists, 2022 (Chris Piech) | 29 |
CS221_2025/ |
Stanford CS221 — Artificial Intelligence: Principles and Techniques, Autumn 2025 | 20 |
CS229_2026/ |
Stanford CS229 — Machine Learning, Spring 2026 | 17 |
CS231N_2025/ |
Stanford CS231N — Deep Learning for Computer Vision, 2025 | 18 |
CS336_2026/ |
Stanford CS336 — Language Modeling from Scratch, Spring 2026 | 18 |
CS224N_2024/ |
Stanford CS224N — NLP with Deep Learning, Spring 2024 (Christopher Manning) | 23 |
3B1B_LinearAlgebra/ |
3Blue1Brown — Essence of Linear Algebra (Grant Sanderson) | 16 |
Each video is accompanied by subtitle files. Human-authored captions are stored as
*.en-US.vtt where available; automatic captions as *.en.vtt / *.en-orig.vtt.
Licensing and attribution
These recordings are not original work of the uploader. Copyright remains with the respective institutions and instructors.
- MIT 18.065 is from MIT OpenCourseWare, licensed CC BY-NC-SA 4.0. Attribution: Gilbert Strang, MIT OpenCourseWare.
- Stanford courses are published by Stanford Online on YouTube under the standard YouTube license.
- 3Blue1Brown — Essence of Linear Algebra is published by Grant Sanderson on YouTube under the standard YouTube license. They are included here for personal/educational archival reference only, and no redistribution rights are granted.
If you are a rights holder and want material removed, open a discussion on this repository and it will be taken down.
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