jeonsworld / MLP-Mixer-PytorchLinks
Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)
☆36Updated 4 years ago
Alternatives and similar repositories for MLP-Mixer-Pytorch
Users that are interested in MLP-Mixer-Pytorch are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆217Updated 4 years ago
- Transformers w/o Attention, based fully on MLPs☆97Updated last year
- The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Updated 3 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆204Updated last year
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- Implementation of Visual Transformer for Small-size Datasets☆129Updated 3 years ago
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorch☆201Updated 3 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆223Updated 9 months ago
- [ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"☆143Updated 2 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- Transformers trained on Tiny ImageNet☆59Updated 4 months ago
- Compare neural networks by their feature similarity☆378Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆149Updated last year
- This repo shows an easy way to download imagenet on a remote server☆45Updated 3 years ago
- Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)☆182Updated 3 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)☆180Updated 4 years ago
- 🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.☆105Updated 6 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆166Updated 2 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- code for NASViT☆67Updated 3 years ago
- ☆246Updated 4 years ago
- Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and …☆118Updated last year
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- Simple CIFAR-10 classification with ConvMixer☆45Updated 3 years ago
- ☆69Updated 4 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆158Updated 4 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆310Updated 4 years ago
- PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) …☆105Updated 3 years ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆142Updated 4 years ago