ariG23498 / mae-scalable-vision-learners
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
☆76Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for mae-scalable-vision-learners
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆41Updated 9 months ago
- Implementation of Uformer, Attention-based Unet, in Pytorch☆93Updated 3 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆77Updated 2 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆140Updated 3 years ago
- A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stoppin…☆60Updated 2 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 3 years ago
- ☆24Updated 3 years ago
- Implementation of Visual Transformer for Small-size Datasets☆117Updated 2 years ago
- A crash course on PyTorch hooks☆40Updated 4 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆63Updated 3 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆124Updated last year
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆167Updated 2 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆70Updated 4 years ago
- Implementation of Evaluation Metrics for Pytorch☆35Updated 4 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆209Updated 3 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- Simple CIFAR-10 classification with ConvMixer☆41Updated 2 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆66Updated last year
- [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)☆176Updated 2 years ago
- SiT: Self-supervised vision Transformer☆19Updated 3 years ago
- ☆65Updated 3 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 3 years ago
- ☆31Updated 7 months ago
- ☆112Updated 2 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆40Updated 3 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆112Updated last year
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆141Updated last year
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆54Updated 2 years ago
- Mode collapse example of GANs in 2D (PyTorch).☆41Updated last year
- CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021☆129Updated 3 years ago