Papers-I-Read

Welcome to Papers-I-Read, a personal repository for tracking, summarizing, and learning from scientific papers across fields like Science, Machine Learning, and Mathematics. Here you'll find:

• Concise notes and summaries for each paper
• Guides for reading, understanding, and writing research papers
• Takeaways and personal reflections

📁 Repository Structure

• guides/ — General guides and meta-documents (how to read papers, writing research papers, math explained, etc.)
• notes/ — Paper-specific notes and example/mock papers
• README.md and LICENSE — Top-level documentation and license

🚀 Getting Started

1. Browse Guides:
   • Start with guides/how_to_read_papers.md for tips on quickly understanding new papers.
   • Use guides/writing_research_paper.md for a step-by-step approach to writing your own research paper.
   • Refer to guides/math_explained.md for help with mathematical notation and concepts.
2. Explore Notes:
   • Find summaries and insights for individual papers in the notes/ directory.
   • Use these notes as references or inspiration for your own research.

🔗 Useful Resources

Here are some valuable resources to help you explore academic papers more effectively:

• Explainpaper — Simplifies complex papers for easier understanding
• Visual Geometry Group Publications — Research papers from Oxford's VGG group
• Papers with Code — Links research papers with code implementations
• Proceedings of Machine Learning Research — Latest ML conference proceedings
• Stack Overflow Blog: Academic CS Papers — Must-read CS papers
• Must-Read AI Papers by Minh Long — Essential AI research papers
• Awesome Neural ODE — Neural ODE resources
• Best AI Papers of 2022 by Louis FB — Top AI papers of 2022
• CS 10707 Syllabus — Course reading materials
• Cornell CS Courses — Cornell CS course papers
• Stanford Canvas Courses — Stanford online courses

🤝 Contributing

Contributions are welcome! Whether you want to add a new paper, improve a summary, or suggest resources, your input is valuable.

1. Fork the Repository: Click the "Fork" button at the top right of this page.
2. Create a Branch: Create a new branch for your feature or improvement.
3. Make Changes: Add your content or make edits to existing files.
4. Submit a Pull Request: Once you're satisfied with your changes, submit a pull request for review.

Please ensure that your contributions follow the repository's formatting and documentation standards.

📄 License

This project is licensed under the MIT License.