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Machine-Learning-Tokyo

papers-with-annotations

Research papers with annotations, illustrations and explanations.

TutorialsML/AI fundamentals
Open on GitHub
Momentum
+0stars in 24 hours0.0%
827
Stars
75
Forks
+0
This week
2
Contributors
Created 2020-06-01 · Updated 2026-08-31 · #13413 today
Top developers
alisher-aij-cunanan

Machine-Learning-Tokyo/papers-with-annotations is ranked 13,413 with 827 stars.

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Machine-Learning-Tokyo/papers-with-annotations is ranked 13,413 among these 8 peers; jingtian11/EasyOffer is ranked 13,418.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryTutorials
SubcategoryML/AI fundamentals
Stars827
Forks75
Contributors2
Created date2020-06-01
Updated date2026-08-31
Stars in 1 day0
Stars in 7 days0
Rank13,413
Previous rank13,316
Rank change-97
7-day stars rank13,928
Previous 7-day stars rank13,947
7-day stars rank change19
Total stars rank12,972
Previous total stars rank12,956
Total stars rank change-16
CountryJapan
README summary

Papers with Annotations (PwA) (created by Alisher Abdulkhaev. Twitter | LinkedIn | GitHub | alisher@mltokyo. ai) This project compiles multiple (AI-related) papers with illustrations, annotations, and brief explanations for technical keywords, terms and previous studies which makes them easier to read and to get the main idea intuitively. object detection PwA ai and cognitive science related PwA unsupervised and semi/self-supervised learning related PwA convolutional neural networks related PwA miscellaneous PwA Please feel free to open new PR (pull request

) if you have such kind of annotated research papers (related to AI, ML, DL, neuroscience, cognitive sciences). Also, please give us a feedback by opening an issue on this repository. We are looking forward for your collaboration! 📌 **Hardware:** iPad (6th generation) with Apple Pencil (1st generation). However, any iPad (which supports Apple pencil) or any Android tablets should be fine. Featured at: 📌 MLT's Blog 📌 David Ha's tweet 📌 www. com Contributors: Alisher Abdulkhaev Jayson Cunanan

Frequently asked questions

How many stars and forks are recorded?

Machine-Learning-Tokyo/papers-with-annotations has 827 stars and 75 forks.

What is the repository rank?

Machine-Learning-Tokyo/papers-with-annotations is ranked 13,413.

Which repository is closest in rank?

Machine-Learning-Tokyo/papers-with-annotations is compared with jingtian11/EasyOffer, ranked 13,418 with 827 stars.

README

Papers with Annotations (PwA)

(created by Alisher Abdulkhaev. Twitter | LinkedIn | GitHub | alisher@mltokyo.ai)

This project compiles multiple (AI-related) papers with illustrations, annotations, and brief explanations for technical keywords, terms and previous studies which makes them easier to read and to get the main idea intuitively.

Please feel free to open new PR (pull request) if you have such kind of annotated research papers (related to AI, ML, DL, neuroscience, cognitive sciences).

Also, please give us a feedback by opening an issue on this repository. We are looking forward for your collaboration!

Annotation tools:

How are the annotations generated:

📌 Software: Notability App — import pdf to the App, make annotations (handwriten notes, import the figures, stickers, etc) and export the pdf.

📌 Hardware: iPad (6th generation) with Apple Pencil (1st generation). However, any iPad (which supports Apple pencil) or any Android tablets should be fine.

Featured at:

📌 MLT's Blog

📌 David Ha's tweet

📌 www.analyticsvidhya.com

Contributors:

  • Alisher Abdulkhaev
  • Jayson Cunanan
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