MLP-Mixer-pytorch VS CeiT

Compare MLP-Mixer-pytorch vs CeiT and see what are their differences.

MLP-Mixer-pytorch

Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision (by rishikksh20)
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MLP-Mixer-pytorch CeiT
1 1
206 95
- -
0.0 0.0
about 3 years ago about 3 years ago
Python Python
MIT License MIT License
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MLP-Mixer-pytorch

Posts with mentions or reviews of MLP-Mixer-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

CeiT

Posts with mentions or reviews of CeiT. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MLP-Mixer-pytorch and CeiT 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

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

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

autogluon - Fast and Accurate ML in 3 Lines of Code

dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

SimpleCV - The Open Source Framework for Machine Vision