lucidrains / vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
☆22,699Updated 2 months ago
Alternatives and similar repositories for vit-pytorch:
Users that are interested in vit-pytorch are comparing it to the libraries listed below
- ☆11,308Updated 2 months ago
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆14,712Updated 9 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆34,001Updated this week
- Official DeiT repository☆4,190Updated last year
- Code release for ConvNeXt model☆5,989Updated 2 years ago
- End-to-End Object Detection with Transformers☆14,292Updated last year
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,485Updated 3 months ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,970Updated this week
- PyTorch implementation of MAE https//arxiv.org/abs/2111.06377☆7,768Updated 9 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆14,871Updated this week
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆6,807Updated 10 months ago
- A PyTorch implementation of EfficientNet☆8,097Updated 3 years ago
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆11,582Updated 3 weeks ago
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,113Updated last month
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆10,400Updated this week
- 🐍 Geometric Computer Vision Library for Spatial AI☆10,427Updated this week
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,649Updated last year
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆2,026Updated 2 years ago
- 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.…☆11,906Updated 5 months ago
- An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆4,849Updated 9 months ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,261Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆8,015Updated 4 months ago
- PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.☆6,918Updated 5 months ago
- OpenMMLab Semantic Segmentation Toolbox and Benchmark.☆8,859Updated 8 months ago
- Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.☆4,199Updated last month
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆9,282Updated 6 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,130Updated 2 weeks ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,253Updated last year
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆28,780Updated 9 months ago