hila-chefer / Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
☆1,827Updated 11 months ago
Alternatives and similar repositories for Transformer-Explainability:
Users that are interested in Transformer-Explainability are comparing it to the libraries listed below
- Explainability for Vision Transformers☆887Updated 2 years ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆814Updated last year
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆1,978Updated 2 years ago
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,235Updated 3 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,307Updated 10 months ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,173Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,787Updated 6 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,023Updated last year
- This is a collection of our NAS and Vision Transformer work.☆1,707Updated 5 months ago
- Recent Transformer-based CV and related works.☆1,326Updated last year
- Official DeiT repository☆4,114Updated 10 months ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,115Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,952Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,172Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods p…☆1,423Updated this week
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.☆1,191Updated 3 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,458Updated 3 weeks ago
- An All-MLP solution for Vision, from Google AI☆1,007Updated 4 months ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,855Updated 3 weeks ago
- Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-…☆2,100Updated this week
- Vision Transformer (ViT) in PyTorch☆806Updated 2 years ago
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".☆942Updated 2 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet☆1,169Updated last year
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,621Updated last year
- PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)☆1,308Updated 7 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,057Updated last month
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,207Updated 3 months ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,242Updated 4 months ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,224Updated last year
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆808Updated 2 years ago