awesome-video-anomaly-detection VS Awesome-Transformer-Attention

Compare awesome-video-anomaly-detection vs Awesome-Transformer-Attention and see what are their differences.

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awesome-video-anomaly-detection Awesome-Transformer-Attention
1 4
545 4,271
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0.0 9.8
over 1 year ago 4 days ago
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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.

awesome-video-anomaly-detection

Posts with mentions or reviews of awesome-video-anomaly-detection. We have used some of these posts to build our list of alternatives and similar projects.

Awesome-Transformer-Attention

Posts with mentions or reviews of Awesome-Transformer-Attention. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-09.

What are some alternatives?

When comparing awesome-video-anomaly-detection and Awesome-Transformer-Attention you can also consider the following projects:

Datacluster-Datasets - This repo contains a sample of the datasets from Datacluster Labs. Connect with us for your custom AI dataset needs! To download full datasets contact at [email protected] !

course - The Hugging Face course on Transformers

Top-10-Computer-Vision-Papers-2020 - A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Awesome-Image-Colorization - :books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.