paper_annotations
A place to keep track of all the annotated papers. (by au1206)
awesome-deep-learning-papers
The most cited deep learning papers (by terryum)
paper_annotations | awesome-deep-learning-papers | |
---|---|---|
11 | 3 | |
137 | 25,176 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | 4 months ago | |
TeX | ||
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
paper_annotations
Posts with mentions or reviews of paper_annotations.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
- Wood Trim Problem (Help Needed)
- Beginning to read ML papers - pathway/general advice
- What is the top paper that one must absolutely read in their deep learning roadmap?
- Keeping up
- How to read more research papers? (tips & tools given)
- Does anyone know a good source for learning the basics of ML? (beginner)
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Annotated Papers: RoBERTa and Few Shot NER
These along with other papers can be found at: https://github.com/au1206/paper_annotations and https://au1206.github.io/
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Annotated Papers: The EfficientNet Family (v1 and v2)
Read along with these easy to follow annotated papers: EfficientNet-V1: https://au1206.github.io/annotated%20paper/EfficientNet/ EfficientNet-V2: https://au1206.github.io/annotated%20paper/EfficientNet-v2/ Github Repo: https://github.com/au1206/paper_annotations
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Fine-Tune BERT for Text Classification with TensorFlow Tutorial
I will also often post annotated papers, where I will try to annotate a recent paper and try to make it more readable for a better understanding for the people just starting out. You can find some at https://au1206.github.io/ and will now consciously try to make it easier to understand.
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Annotated Paper: MLP-Mixer An all MLP Architecture for Vision
Paper Complexity: Easy-Medium Annotated paper link: https://au1206.github.io/annotated%20paper/mlp_mixer/ Github Link: https://github.com/au1206/paper_annotations/blob/master/mlp_mixer.pdf
awesome-deep-learning-papers
Posts with mentions or reviews of awesome-deep-learning-papers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-24.
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
10. Deep Learning Papers Last but not least, Deep Learning Papers is a must-visit repository for anyone interested in deep learning research. This curated list features the most influential and important deep learning papers, organized by topic and publication date.
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Ask HN: What is an updated AI reading list?
Maybe one of the various Github "Awesome XYZ" lists that exists out there.
https://github.com/terryum/awesome-deep-learning-papers
https://endymecy.github.io/awesome-deeplearning-resources/
You might also track down the website for a DL class from a reputable university and mine the syllabus for a list of assigned readings. Do that for two or three such instances and you could probably come up with a pretty solid list.
Or may just ask Carmack to share the list he was referring to? Does anybody know if he responds to Tweets / Twitter DM's, etc?
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What is the top paper that one must absolutely read in their deep learning roadmap?
Just see the list of most cited paper here: Awesome - Most Cited Deep Learning Papers
What are some alternatives?
When comparing paper_annotations and awesome-deep-learning-papers you can also consider the following projects:
must-read-ai-papers - A collection of must-read AI-related papers