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  1. Transformer-Explainability Transformer-Explainability Public

    [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

    Jupyter Notebook 1.7k 225

  2. Transformer-MM-Explainability Transformer-MM-Explainability Public

    [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…

    Jupyter Notebook 717 105

  3. RobustViT RobustViT Public

    [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers t…

    Jupyter Notebook 121 12

  4. TargetCLIP TargetCLIP Public

    [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

    Jupyter Notebook 229 25

  5. yuval-alaluf/Attend-and-Excite yuval-alaluf/Attend-and-Excite Public

    Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

    Jupyter Notebook 639 55

  6. Conceptor Conceptor Public

    Official implementation of the paper The Hidden Language of Diffusion Models

    63