deep-implicit-attention VS afem

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

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deep-implicit-attention afem
1 1
61 13
- -
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.

afem

Posts with mentions or reviews of afem. 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 afem you can also consider the following projects:

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

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

spin-model-transformers - Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX

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

x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers

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