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!
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.
Contributors:
- Alisher Abdulkhaev
- Jayson Cunanan