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Linear probe found representations of scene attributes in a text-to-image diffusion model
A game theoretic approach to explain the output of any machine learning model.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Official implementations for paper: Anydoor: zero-shot object-level image customization
? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Algorithms for explaining machine learning models
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A JAX research toolkit for building, editing, and visualizing neural networks.
? InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
[ICCV 2017] Torch code for Grad-CAM