Best_AI_paper_2020
best_AI_papers_2021
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| Best_AI_paper_2020 | best_AI_papers_2021 | |
|---|---|---|
| 29 | 30 | |
| 2,221 | 2,902 | |
| - | - | |
| 0.0 | 2.7 | |
| about 2 years ago | 6 months ago | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
Best_AI_paper_2020
- Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- [Research] Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- How to read more research papers? (tips & tools given)
-
[Research][Project] The best AI papers of 2020 with a clear video demo, short read, paper, and code for each of them. Follow my progress in 2021!
The full list on GitHub: https://github.com/louisfb01/Best_AI_paper_2020
best_AI_papers_2021
- The past two years went down in a blink because of some pandemic? Check out this 2021 recap of the most exciting advancements in the AI field to see what you may have missed out on!
- GitHub - louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
What are some alternatives?
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license-against-the-machine - Strictly no AIs
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
MetaSpore - A unified end-to-end machine intelligence platform
best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
PreferenceNet - PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
sandlib