Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Research papers with annotations, illustrations and explanations
| Date | Stars |
|---|---|
| 2026-07-24 | 826 |
| 2026-07-25 | 826 |
| 2026-07-28 | 826 |
| 2026-07-30 | 826 |
| 2026-07-31 | 826 |
| 2026-08-06 | 826 |
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# Papers with Annotations (PwA) <p align="center"> <img src="https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/MLT_PwA.gif" width="500" /> </p> (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! --- <details> <summary><b> Annotation tools: </b></summary> ## 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. </details> <details> <summary><b> Featured at: </b></summary> 📌 [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) </details> <details> <summary><b> Contributors: </b></summary> - Alisher Abdulkhaev - Jayson Cunanan </details>
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6538ad588c6011f1, topic:computer-vision, readme:object detection
matched fp:6538ad588c6011f1, topic:deep-learning