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Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and other interesting stuffs).
https://paper.lingyunyang.com/
MIT License
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cloud-computing deep-learning gpu-virtualization machine-learning machine-learning-systems paper-list paper-notes reading-list reading-notes remote-direct-memory-access research resource-management resource-scheduler system-design systems-for-machine-learning

readme

Introduction

“Think different.” —— Apple Inc.

Hi all, thank you for visiting here ;-)

I am currently a graduate student at HKUST. These are my personal paper reading notes.

Specifically, I have a broad interest in systems (e.g., OSDI, SOSP, NSDI, ATC, EuroSys, SoCC, ASPLOS, MLSys), machine learning (e.g., ICML, ICLR, NeurIPS), and other funny stuff.

Welcome

  1. I'll aperiodically organize some interesting papers that I have read during my leisure and upload their notes to the GitHub repository, which can be read easily on the website.
  2. I've organized a list of papers on several topics (e.g., systems for ML) and also categorized the reading notes by conference/journal dates.
  3. If you find a paper that interests you in my reading notes, feel free to create an issue and chat with me.
  4. Even if the paper you are interested in is not in my notes, you can also create an issue to let me know. I will read it and give you my thoughts if I have time.
  5. Welcome to submit a pull request if you find any typos.

Changelogs

Epilogue

If it helps, you could star the GitHub repository.

For a better experience, please check out the website.

License

Released under the MIT License.

Copyright © 2021—2024 Lingyun Yang.