Model-Interpretability-SHAP

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

Pytorch Implementation of recent visual attribution methods for model interpretability

Overview of different model interpretability libraries.

Class Activation Map (CAM) Visualizations in PyTorch.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

surrogate quantitative interpretability for deepnets

Official repository for the paper "Instance-wise Causal Feature Selection for Model Interpretation" (CVPRW 2021)

Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)

AI to Predict Yield in Aeroponics

Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs