https://github.com/Machine-Learning-Tokyo/papers-with-annotations

Research papers with annotations, illustrations and explanations
https://github.com/Machine-Learning-Tokyo/papers-with-annotations

computer-vision deep-learning machine-learning

Last synced: about 2 months ago
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Research papers with annotations, illustrations and explanations

• Host: GitHub
• URL: https://github.com/Machine-Learning-Tokyo/papers-with-annotations
• Owner: Machine-Learning-Tokyo
• License: mit
• Created: 2020-06-01T11:21:59.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-04-10T07:18:24.000Z (almost 4 years ago)
• Last Synced: 2024-11-09T01:13:15.705Z (2 months ago)
• Topics: computer-vision, deep-learning, machine-learning
• Homepage:
• Size: 62.3 MB
• Stars: 829
• Watchers: 84
• Forks: 75
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Papers with Annotations (PwA)

  


(created by Alisher Abdulkhaev. [Twitter](https://twitter.com/alisher_ai) | [LinkedIn](https://www.linkedin.com/in/alisher-abdulkhaev/) | [GitHub](https://github.com/alisher0717) | [email protected])

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](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/tree/master/object-detection)

- [ai and cognitive science related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/tree/master/ai-and-cognitive-science)

- [unsupervised and semi/self-supervised learning related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/unsupervised-and-semi-supervised-learning)

- [convolutional neural networks related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/convolutional-neural-networks/README.md)

- [miscellaneous PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/miscellaneous/README.md)

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](https://machinelearningtokyo.com/2020/06/25/papers-with-annotations/)

📌 [David Ha's tweet](https://twitter.com/hardmaru/status/1275690178699542529?s=20)

📌 [www.analyticsvidhya.com](https://www.analyticsvidhya.com/blog/2020/07/7-open-source-data-science-projects-add-resume/?unapproved=162210&moderation-hash=6e766ca8354bb4f681ca290eb6a65647#comment-162210)

 

  Contributors: 

 

 

- Alisher Abdulkhaev

- Jayson Cunanan