Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels (by subeeshvasu)
Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code (by louisfb01)
| Awesome-Learning-with-Label-Noise | Best_AI_paper_2020 | |
|---|---|---|
| 1 | 29 | |
| 2,534 | 2,221 | |
| - | - | |
| 4.2 | 0.0 | |
| 13 days ago | over 2 years ago | |
| - | 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.
Awesome-Learning-with-Label-Noise
Posts with mentions or reviews of Awesome-Learning-with-Label-Noise.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-25.
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[D] Should expert opinion be a bigger part of the Machine Learning world?
And then there's learning from noisy labels. Lots of work on that as well.
Best_AI_paper_2020
Posts with mentions or reviews of Best_AI_paper_2020.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-06.
- 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)
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[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
What are some alternatives?
When comparing Awesome-Learning-with-Label-Noise and Best_AI_paper_2020 you can also consider the following projects:
the-incredible-pytorch - The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
mlreef - The collaboration workspace for Machine Learning
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)
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.