Top-10-Computer-Vision-Papers-2020 VS neuroaid

Compare Top-10-Computer-Vision-Papers-2020 vs neuroaid and see what are their differences.

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Top-10-Computer-Vision-Papers-2020 neuroaid
1 1
189 33
- -
0.0 3.3
about 2 years ago 11 months ago
MIT License 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.

Top-10-Computer-Vision-Papers-2020

Posts with mentions or reviews of Top-10-Computer-Vision-Papers-2020. We have used some of these posts to build our list of alternatives and similar projects.

neuroaid

Posts with mentions or reviews of neuroaid. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Top-10-Computer-Vision-Papers-2020 and neuroaid you can also consider the following projects:

awesome-video-anomaly-detection - Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

3D-Machine-Learning - A resource repository for 3D machine learning

awesome-BCIss - List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide

rtdl - Research on Tabular Deep Learning [Moved to: https://github.com/yandex-research/rtdl]

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

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.

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.