Research and Scientific Writing
- 现代科研指北
- Advising Statement, by Marc F. Bellemare
- Learn LaTeX for LaTeX beginners and a short intro to LaTex (in Chinese)
Math
- WolframAlpha, Mathematics Stack Exchange, ProofWiki, and Matrix Calculus
- Math via visualization: 3Blue1Brown, Seeing Theory, 看见概率论
- Blog of Terence Tao: What’s New
- Riemann 猜想漫谈 （by 卢昌海）
- Libres pensées d’un mathématicien ordinaire (by Djalil Chafaï)
- NIST Digital Library of Mathematical Functions
- AIM Approved Textbooks for freely available math textbooks
- Probability and Measure by Patrick Billingsley.
- High-Dimensional Probability: An Introduction with Applications in Data Science by Roman Vershynin, available online here.
Computer Science and AI
- NumPy for MATLAB user
- How To Start Open Source
- AI-research-tools (中文)
- Visualization of Algorithms
- Awesome Machine Learning Resources
- Google Dataset Search
- ChatGPT for writing, and Prompt Library from University of Pennsylvania
- AI by Doing
- Gamma for presentation
- 科学空间 （by 苏剑林）
- Introductory course on Machine Learning bu Andrew Ng, for example the Stanford CS229 course here.
- Deep Learning DIY used for courses at ENS and X, by Marc Lelarge, Andrei Bursuc, and Jill-Jênn Vie.
- Pytorch tutorial.
- Pattern Recognition and Machine Learning by Christopher M. Bishop, available online here.
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, available online here.