convolution-vision-transformers VS CvT

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

convolution-vision-transformers

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

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. (by microsoft)
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convolution-vision-transformers CvT
2 2
224 556
- 0.0%
0.0 0.0
over 3 years ago over 1 year ago
Python Python
MIT License MIT License
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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.

CvT

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

What are some alternatives?

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

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

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

create-go-app - ✨ A complete and self-contained solution for developers of any qualification to create a production-ready project with backend (Go), frontend (JavaScript, TypeScript) and deploy automation (Ansible, Docker) by running only one CLI command.

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

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

sharpened-cosine-similarity - An alternative to convolution in neural networks

ml-cvnets - CVNets: A library for training computer vision networks

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

classification - Classification of the MNIST dataset using various Deep Learning techniques

autogluon - Fast and Accurate ML in 3 Lines of Code

sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching

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