SHI-Labs / Compact-TransformersLinks
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
β536Updated 9 months ago
Alternatives and similar repositories for Compact-Transformers
Users that are interested in Compact-Transformers are comparing it to the libraries listed below
Sorting:
- Implementation of ConvMixer for "Patches Are All You Need? π€·"β1,076Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)β466Updated 3 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"β819Updated 3 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.β582Updated 2 years ago
- β605Updated last month
- An All-MLP solution for Vision, from Google AIβ1,034Updated 3 weeks ago
- A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"β388Updated 3 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)β458Updated 3 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)β486Updated 4 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paperβ768Updated 2 years ago
- EsViT: Efficient self-supervised Vision Transformersβ413Updated last year
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/β347Updated last year
- Learning Rate Warmup in PyTorchβ410Updated last month
- β464Updated 2 years ago
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)β1,347Updated last year
- LeViT a Vision Transformer in ConvNet's Clothing for Faster Inferenceβ616Updated 2 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"β557Updated 3 years ago
- Explainability for Vision Transformersβ988Updated 3 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".β658Updated 4 years ago
- Implementation of Visual Transformer for Small-size Datasetsβ124Updated 3 years ago
- [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmenβ¦β480Updated 2 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetβ1,190Updated last year
- Documentation for Ross Wightman's timm image model libraryβ312Updated last year
- Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022β1,135Updated last year
- Compare neural networks by their feature similarityβ369Updated 2 years ago
- Official PyTorch implementation of Fully Attentional Networksβ479Updated 2 years ago
- Self-supervised vIsion Transformer (SiT)β337Updated 2 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting Vβ¦β488Updated 2 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.β1,212Updated 3 years ago
- Official code Cross-Covariance Image Transformer (XCiT)β673Updated 3 years ago