feature-importance topic
xai
XAI - An eXplainability toolbox for machine learning
Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠(ICLR 2019)
captum
Model interpretability and understanding for PyTorch
deep-explanation-penalization
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
lofo-importance
Leave One Feature Out Importance
dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal...
shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Predictive-Maintenance-of-Aircraft-Engine
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
ShapML.jl
A Julia package for interpretable machine learning with stochastic Shapley values