日积月累，整理归纳
故不积跬步，无以至千里；不积小流，无以成江海。
这里整理我在学习和研究中遇到的优秀书籍、教程和资料，持续更新。
Good Resources
- Search good books: book sites
- MIT class: Introduction to Linear Algebra
- Machine learning courses: 吴恩达课程
- MIT math course: Courses by Prof. Strang on OCW
- The Kernel Cookbook: Advice on Covariance Functions
Code Resources
Traffic Modeling and Simulation
- Traffic Flow Dynamics: Data, Models and Simulation — Martin Treiber, Arne Kesting
Advanced Mathematics
- Linear Algebra: Linear Algebra: A Geometric Approach
- Linear Algebra: Become a Linear Algebra Master（视频）
- Linear Algebra: The Matrix Cookbook
Computer Vision
- Image generation methods: State-of-the-Art Image Generative Models
- Variational autoencoders: Introduction，code examples
- Object tracking methods: YOLOv3 + SORT code
- YOLOv8: Roboflow Supervision
- Image classification project: Awesome Backbones
Generative Models
- Structured synthetic data generation using GANs: method introduction，online software
Evaluation Indicators
- Confusion matrix: 混淆矩阵相关指标含义与计算方法
Other Books
- 数学之美 — 吴军
Special Note:
- 本页面主要用于个人学习和科研资料整理，不涉及任何商业活动。若页面中链接内容涉及版权争议，请联系我删除。
- The best time to plant a tree was ten years ago. The second-best time is now.
