3 open source projects by hila-chefer

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

✭ 309

jupyter-notebook deep-learning

2. TargetCLIP

Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

✭ 158

Jupyter Notebook python image-generation clip stylegan2

3. Transformer-MM-Explainability

[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-based network. Including examples for DETR, VQA.

✭ 484

Jupyter Notebook python javascript shell c CSS visualization transformers transformer vqa clip interpretability explainable-ai explainability detr lxmert visualbert

1-3 of 3 user projects