convolution-vision-transformers VS vit-pytorch

Compare convolution-vision-transformers vs vit-pytorch and see what are their differences.

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers (by rishikksh20)

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch (by lucidrains)
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convolution-vision-transformers vit-pytorch
2 11
210 17,517
- -
0.0 7.3
almost 3 years ago 3 months 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.

convolution-vision-transformers

Posts with mentions or reviews of convolution-vision-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

vit-pytorch

Posts with mentions or reviews of vit-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing convolution-vision-transformers and vit-pytorch you can also consider the following projects:

MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision

reformer-pytorch - Reformer, the efficient Transformer, in Pytorch

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

efficient-attention - An implementation of the efficient attention module.

Compact-Transformers - Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

EasyCV - An all-in-one toolkit for computer vision

CeiT - Implementation of Convolutional enhanced image Transformer

memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

memory-efficient-attention-pyt

vit-tensorflow - Vision Transformer Cookbook with Tensorflow