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!)
β538Updated last year
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€·"β1,079Updated 3 years ago
- Code for the Convolutional Vision Transformer (ConViT)β470Updated 4 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"β821Updated 3 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.β587Updated 2 years ago
- An All-MLP solution for Vision, from Google AIβ1,053Updated 5 months ago
- EsViT: Efficient self-supervised Vision Transformersβ411Updated 2 years ago
- β612Updated last week
- A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"β392Updated 4 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paperβ776Updated 2 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)β463Updated 3 years ago
- [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmenβ¦β489Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/β349Updated last year
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)β483Updated 4 years ago
- LeViT a Vision Transformer in ConvNet's Clothing for Faster Inferenceβ620Updated 3 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"β559Updated 3 years ago
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)β1,356Updated last year
- Implementation of Visual Transformer for Small-size Datasetsβ128Updated 3 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¦β491Updated 2 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".β665Updated 4 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.β1,213Updated 4 years ago
- Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022β1,163Updated last year
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quanβ¦β650Updated 2 years ago
- Learning Rate Warmup in PyTorchβ414Updated 5 months ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetβ1,189Updated 2 years ago
- Official PyTorch implementation of Fully Attentional Networksβ481Updated 2 years ago
- Compare neural networks by their feature similarityβ377Updated 2 years ago
- [ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachersβ¦β283Updated 2 years ago
- Official code Cross-Covariance Image Transformer (XCiT)β674Updated 4 years ago
- β467Updated 2 years ago