deep-implicit-attention VS TimeSformer-pytorch

Compare deep-implicit-attention vs TimeSformer-pytorch and see what are their differences.

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deep-implicit-attention TimeSformer-pytorch
1 1
61 658
- -
0.0 0.0
over 2 years ago over 2 years ago
Python Python
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.

deep-implicit-attention

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

TimeSformer-pytorch

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

What are some alternatives?

When comparing deep-implicit-attention and TimeSformer-pytorch you can also consider the following projects:

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch