This repository is a curated collection of resources for individuals preparing for algorithm and AI engineering interviews, particularly in the Computer Vision (CV) domain. It aggregates links to GitHub repositories, interview experiences from platforms like Nowcoder and Zhihu, online courses, and practical code examples, aiming to provide a comprehensive study guide for job seekers in AI/ML roles.
How It Works
The project functions as a large, organized index of external resources. It categorizes links by topic (e.g., Machine Learning, Deep Learning, C++, Python, Competitions) and by source type (GitHub, Nowcoder, Zhihu, Blogs, Online Courses). This structure allows users to navigate and find relevant materials for specific areas of interview preparation, such as understanding core ML concepts, practicing coding problems, or reviewing past interview experiences.
Quick Start & Requirements
- Access: No installation required; browse the README directly.
- Prerequisites: Internet access to follow the provided links.
- Resources: Links point to various external websites, GitHub repositories, and online course platforms.
Highlighted Details
- Extensive coverage of interview experiences from major Chinese tech platforms (Nowcoder, Zhihu) and GitHub repositories.
- Detailed sections for Machine Learning, Deep Learning, and specific programming languages (C++, Python), including numerous course links.
- Includes resources for competitions, resume templates, and foundational computer science topics.
- A significant portion is dedicated to Computer Vision (CV) specific interview preparation.
Maintenance & Community
- The repository is community-driven, with numerous links sourced from various platforms.
- No specific community channels (Discord, Slack) or active maintainer information is provided in the README.
Licensing & Compatibility
- The repository itself does not appear to have a specific license declared.
- The linked resources are subject to their own respective licenses. Compatibility for commercial use depends on the licenses of the individual linked projects and content.
Limitations & Caveats
- This is a curated list of links, not an integrated tool or platform; users must navigate to external sites.
- The content is heavily focused on the Chinese job market and platforms.
- The README is extensive and may require significant time to sift through for specific needs.