jeonsworld / MLP-Mixer-Pytorch
Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)
☆35Updated 3 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
- The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Updated 2 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)☆176Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆141Updated 3 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆218Updated 3 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆188Updated last year
- Transformers w/o Attention, based fully on MLPs☆93Updated last year
- ☆66Updated 3 years ago
- Transformers trained on Tiny ImageNet☆54Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆142Updated 11 months ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆173Updated last year
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆78Updated 2 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆126Updated 2 years ago
- A simple minimal implementation of Reversible Vision Transformers☆124Updated last year
- Simple CIFAR-10 classification with ConvMixer☆43Updated 3 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- ☆57Updated 2 years ago
- ☆34Updated last year
- Recent Advances in MLP-based Models (MLP is all you need!)☆115Updated 2 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆151Updated last year