ariG23498 / mae-scalable-vision-learnersLinks
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
☆84Updated 3 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
Sorting:
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆177Updated 4 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆217Updated 4 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year
- ☆24Updated 4 years ago
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorch☆201Updated 3 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago
- Implementation of Visual Transformer for Small-size Datasets☆129Updated 3 years ago
- Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆97Updated 5 years ago
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆201Updated last year
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated last year
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- Implementation of Uformer, Attention-based Unet, in Pytorch☆95Updated 4 years ago
- (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better☆43Updated 4 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆83Updated 5 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 4 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆228Updated 4 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 3 years ago
- Attention mechanism☆52Updated 4 years ago
- ModelSoups for Tensorflow2 and Torch☆50Updated 3 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆264Updated 4 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆150Updated 4 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆72Updated 2 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆167Updated 2 years ago
- [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021☆167Updated 3 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 3 years ago
- Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine…☆60Updated 3 years ago
- A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder☆162Updated 4 years ago
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆310Updated 4 years ago