feature-attribution topic
captum
Model interpretability and understanding for PyTorch
thermostat
Collection of NLP model explanations and accompanying analysis tools
ExplainableAI.jl
Explainable AI in Julia.
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
caltech_birds
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
TSInterpret
An Open-Source Library for the interpretability of time series classifiers
cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance