https://github.com/djeada/papers-i-read

A personal collection of scientific papers I've read, spanning the fields of science, machine learning, and mathematics. This repository includes my summaries, key takeaways, and personal thoughts on each paper, serving as both a learning tool and a way to share insights with others interested in these subjects.
https://github.com/djeada/papers-i-read

Last synced: 6 days ago
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A personal collection of scientific papers I've read, spanning the fields of science, machine learning, and mathematics. This repository includes my summaries, key takeaways, and personal thoughts on each paper, serving as both a learning tool and a way to share insights with others interested in these subjects.

• Host: GitHub
• URL: https://github.com/djeada/papers-i-read
• Owner: djeada
• License: mit
• Created: 2022-03-16T16:00:19.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2025-02-24T21:47:40.000Z (11 months ago)
• Last Synced: 2025-02-24T22:31:57.020Z (11 months ago)
• Homepage:
• Size: 91.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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](https://www.explainpaper.com/) — Simplifies complex papers for easier understanding

- [Visual Geometry Group Publications](https://www.robots.ox.ac.uk/~vgg/publications/) — Research papers from Oxford's VGG group

- [Papers with Code](https://paperswithcode.com/greatest) — Links research papers with code implementations

- [Proceedings of Machine Learning Research](http://proceedings.mlr.press) — Latest ML conference proceedings

- [Stack Overflow Blog: Academic CS Papers](https://stackoverflow.blog/2022/12/30/you-should-be-reading-academic-computer-science-papers/) — Must-read CS papers

- [Must-Read AI Papers by Minh Long](https://github.com/minhlong94/must-read-ai-papers) — Essential AI research papers

- [Awesome Neural ODE](https://github.com/Zymrael/awesome-neural-ode?tab=readme-ov-file) — Neural ODE resources

- [Best AI Papers of 2022 by Louis FB](https://github.com/louisfb01/best_AI_papers_2022) — Top AI papers of 2022

- [CS 10707 Syllabus](https://andrejristeski.github.io/10707-S20/syllabus.html) — Course reading materials

- [Cornell CS Courses](https://www.cs.cornell.edu/courses/cs6784/2014sp/) — Cornell CS course papers

- [Stanford Canvas Courses](https://canvas.stanford.edu/courses/66218/) — 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](LICENSE).