how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?" (by xxxnell)
awesome-fast-attention
list of efficient attention modules (by Separius)
| how-do-vits-work | awesome-fast-attention | |
|---|---|---|
| 3 | 1 | |
| 784 | 827 | |
| - | - | |
| 0.0 | 1.0 | |
| almost 2 years ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
how-do-vits-work
Posts with mentions or reviews of how-do-vits-work.
We have used some of these posts to build our list of alternatives
and similar projects.
-
A New Deep Learning Study Investigate and Clarify the Intrinsic Behavior of Transformers in Computer Vision
Github: https://github.com/xxxnell/how-do-vits-work
-
[D] Paper Explained – How Do Vision Transformers Work?
Code for https://arxiv.org/abs/2202.06709 found: https://github.com/xxxnell/how-do-vits-work
- How Do Vision Transformers Work?
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.
What are some alternatives?
When comparing how-do-vits-work and awesome-fast-attention you can also consider the following projects:
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
a-PyTorch-Tutorial-to-Transformers - Attention Is All You Need | a PyTorch Tutorial to Transformers
MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
mmdetection - OpenMMLab Detection Toolbox and Benchmark
vit-explain - Explainability for Vision Transformers
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
attention_to_gif - Visualize transition of attention weights across layers in a Transformer as a GIF