There are 2 repositories under mlp-mixer topic.
The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.
Learning and Building Convolutional Neural Networks using PyTorch
A collection of SOTA Image Classification Models in PyTorch
Recent Advances in MLP-based Models (MLP is all you need!)
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
Unofficial PyTorch Implementation for pNLP-Mixer: an Efficient all-MLP Architecture for Language (https://arxiv.org/abs/2202.04350)
Official Implementation of Graph Mixer Networks
Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision. MLP-Mixer, an architecture based exclusively on multi-layer perceptrons (MLPs). MLP-Mixer contains two types of layers: one with MLPs applied independently to image patches (i.e. "mixing" the per-location features), and one with MLPs applied across patches (i.e. "mixing" spatial information).
This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.
An official implementation of CVPR 2019 paper "All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification".
PyTorch implementation of Deep-Learning Architectures
Keras implementation of mlp-mixer, ResMLP, gmlp. imagenet/imagenet21k weights reloaded.
An all MLP architecture for Computer Vision by Google (Paper Implementation)
About unofficial Implementation of MLP-Mixer, Conv-Mixer, ResMLP and Vit in PyTorch
TensorFlow implementation of "MLP-Mixer: An all-MLP Architecture for Vision"
A data-driven streamlit web app that detects whether an image is AI-Generated using neural networks
Some incomplete works with 2D action recognition on MM-Fit dataset using ViT, ViViT, and MLP-Mixer Topics Resources
Generative modeling and representation learning through reconstruction
A pytorch implementation of CVPR2019 paper "All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification".
The official pytorch implementation of "Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer" in ACPR2023
MLP Mixer (Pytorch): Classify flowers with Flowers dataset and Compare models
The implementation of MLP Mixer which has been a new promising solution for vision task
Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision
Tensorflow/Keras implementation of CV mixer models. [WIP]
MLP-Mixer: An all-MLP Architecture for Vision
Project Name: AdaViT | PyTorch Lightning, Python
In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.
모델 학습부터 배포까지 end-to-end 방식으로 이어지는, CV 분야 딥러닝 프로젝트입니다.
Build Image Classification Models with PyTorch.