awesome-fast-attention
list of efficient attention modules (by Separius)
outperformer
Code for scaling Transformers (by r0mainK)
awesome-fast-attention | outperformer | |
---|---|---|
1 | 1 | |
827 | 26 | |
- | - | |
1.0 | 0.0 | |
over 2 years ago | over 3 years ago | |
Python | Python | |
GNU General Public License v3.0 only | 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-fast-attention
Posts with mentions or reviews of awesome-fast-attention.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-26.
outperformer
Posts with mentions or reviews of outperformer.
We have used some of these posts to build our list of alternatives
and similar projects.
-
P Performers The Kernel Trick Random Fourier
Hey ! I also did a longer writeup of the Performer a couple weeks ago, and implemented it here. So first off great work, since I know this paper isnt straightforward :)
What are some alternatives?
When comparing awesome-fast-attention and outperformer you can also consider the following projects:
how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
a-PyTorch-Tutorial-to-Transformers - Attention Is All You Need | a PyTorch Tutorial to Transformers