xxxnell / how-do-vits-workLinks
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
☆823Updated 3 years ago
Alternatives and similar repositories for how-do-vits-work
Users that are interested in how-do-vits-work are comparing it to the libraries listed below
Sorting:
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,078Updated 3 years ago
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".☆1,016Updated 3 years ago
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆539Updated last year
- An All-MLP solution for Vision, from Google AI☆1,054Updated 6 months ago
- Code for the Convolutional Vision Transformer (ConViT)☆470Updated 4 years ago
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)☆1,361Updated last year
- EsViT: Efficient self-supervised Vision Transformers☆411Updated 2 years ago
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,309Updated 4 years ago
- Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022☆1,165Updated last year
- ☆469Updated 2 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.☆590Updated 2 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆463Updated 3 years ago
- A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"☆390Updated 4 years ago
- MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022☆610Updated 3 years ago
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆521Updated 2 years ago
- Explainability for Vision Transformers☆1,053Updated 3 years ago
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)☆760Updated 3 years ago
- Recent Transformer-based CV and related works.☆1,337Updated 2 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆667Updated 4 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet☆1,191Updated 2 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆557Updated 3 years ago
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models☆806Updated 7 months ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,225Updated 2 years ago
- Official PyTorch implementation of Fully Attentional Networks☆481Updated 2 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆445Updated last year
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆778Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)☆337Updated 3 years ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).☆857Updated last year
- EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]☆1,101Updated 2 years ago
- [ICML 2023] Official PyTorch implementation of Global Context Vision Transformers☆444Updated 2 years ago