xxxnell / how-do-vits-workLinks
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
β818Updated 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? π€·"β1,077Updated 3 years ago
- An All-MLP solution for Vision, from Google AIβ1,050Updated 4 months ago
- Code for the Convolutional Vision Transformer (ConViT)β470Updated 4 years ago
- Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022β1,156Updated last year
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)β1,354Updated last year
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)β537Updated last year
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".β1,004Updated 3 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.β585Updated 2 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)β461Updated 3 years ago
- EsViT: Efficient self-supervised Vision Transformersβ411Updated 2 years ago
- β466Updated 2 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"β558Updated 3 years ago
- MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022β601Updated 2 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".β664Updated 4 years ago
- Explainability for Vision Transformersβ1,014Updated 3 years ago
- A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"β393Updated 4 years ago
- ConvMAE: Masked Convolution Meets Masked Autoencodersβ518Updated 2 years ago
- Recent Transformer-based CV and related works.β1,334Updated 2 years ago
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057β1,306Updated 3 years ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decodeβ¦β873Updated 2 years ago
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)β747Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)β337Updated 2 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetβ1,188Updated 2 years ago
- EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]β1,086Updated 2 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paperβ776Updated 2 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.β1,212Updated 4 years ago
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Modelsβ802Updated 5 months ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566β1,216Updated 2 years ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).β857Updated last year
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.β438Updated last year