Try MLP-Mixer in NLP tasks.

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

Build Image Classification Models with PyTorch.

Retinal Optical Coherence Tomography (OCT) is a non-invasive imaging technique used to capture high-resolution cross-sections of the retina. With over 30 million OCT scans performed annually, efficient analysis is critical for timely diagnosis.

Vision Transformer (ViT) and MLP-Mixer Comparison | CIFAR10 | PyTorch

Implementations of state of the art AI models from scratch

HomebrewNLP in Mesh-TensorFlow flavour for distributed TPU training

모델 학습부터 배포까지 end-to-end 방식으로 이어지는, CV 분야 딥러닝 프로젝트입니다.

Adaptive Vision Transformer for efficient image classification, implementing dynamic token sparsification to reduce computational costs while maintaining accuracy.

[ICDEW 2023] Prediction with Time-Series Mixer for the S&P500 Index

Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision

Tensorflow/Keras implementation of CV mixer models. [WIP]

This implementation from paper MLP Mixer

In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.

The implementation of MLP Mixer which has been a new promising solution for vision task

MLP Mixer (Pytorch): Classify flowers with Flowers dataset and Compare models

Implementation for paper MLP-Mixer

Implementing MLP-Mixer by PyTorch (in Colab)

[ACPR2023] The official pytorch implementation of "Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer"

MLP-Mixer: An all-MLP Architecture for Vision