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Tensorwatch ⭐ 3,333

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Visual Attribution ⭐ 117

Pytorch Implementation of recent visual attribution methods for model interpretability

Bayesgrad ⭐ 48

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Detect model's attention

Saliency Cards ⭐ 7

Saliency Cards are transparency documentation for saliency methods. Learn about new saliency methods or document your own!

Omniattention ⭐ 7

This is the GitHub page for the QoMEX 2018 paper: Visual Attention in Omnidirectional Video for Virtual Reality Applications

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

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