ariG23498 / mae-scalable-vision-learners
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
☆78Updated 2 years ago
Alternatives and similar repositories for mae-scalable-vision-learners:
Users that are interested in mae-scalable-vision-learners are comparing it to the libraries listed below
- ☆24Updated 3 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 3 years ago
- Implementation of Visual Transformer for Small-size Datasets☆121Updated 3 years ago
- Implementation of Uformer, Attention-based Unet, in Pytorch☆93Updated 3 years ago
- ModelSoups for Tensorflow2 and Torch☆48Updated 2 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated 2 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆141Updated 3 months ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆141Updated 3 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆42Updated last year
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆126Updated 2 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆173Updated 3 years ago
- Simple CIFAR-10 classification with ConvMixer☆43Updated 3 years ago
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better☆43Updated 3 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆151Updated last year
- ResMLP: Feedforward networks for image classification with data-efficient training☆42Updated 3 years ago
- ☆119Updated 3 years ago
- A PyTorch implementation of VITGAN: Training GANs with Vision Transformers☆55Updated 3 years ago
- A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder☆158Updated 4 years ago
- A crash course on PyTorch hooks☆40Updated 4 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆97Updated 2 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆70Updated 2 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
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆218Updated 3 years ago
- Implementation of Convolutional enhanced image Transformer☆104Updated 4 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆77Updated 5 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆95Updated 4 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆99Updated 3 years ago