This repository is a curated collection of high-quality websites and tools for learning computer science and deep learning fundamentals. It targets students and developers seeking to build a strong foundation in mathematics, programming, operating systems, and AI, offering a structured approach to self-study.

How It Works

The collection is organized by subject area, providing links to tutorials, documentation, and practical resources. It emphasizes foundational knowledge, including mathematics for machine learning, core CS concepts, and programming languages like Python and C++. The project aims to offer a taste of "good taste" in learning materials, suggesting resources that are clear, insightful, and well-regarded within the community.

Quick Start & Requirements

• Access: No installation required; it's a curated list of external resources.
• Requirements: Internet access to view linked websites and tutorials.
• Links:
  • Sidebar directory: https://www.aispacewalk.cn/docs/other/awesomeweb
  • GitHub repository: https://github.com/sanbuphy/my-awesome-cs

Highlighted Details

• Comprehensive coverage from basic math to advanced deep learning systems.
• Includes practical guides for essential tools like Git, Vim, Docker, and Linux command-line operations.
• Features resources for understanding computer architecture and performance optimization.
• Offers extensive sections on CUDA programming, deep learning frameworks, and deployment.

Maintenance & Community

• The repository is updated periodically.
• Discussions and contributions are welcomed via GitHub issues.

Licensing & Compatibility

• The repository itself does not contain code that requires a specific license. It links to external resources, whose licenses would apply.

Limitations & Caveats

• The primary language of the repository is Chinese, though English-speaking users can utilize translation tools.
• As a curated list, the quality and availability of linked external resources are subject to change.