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pytorch
captum

Model interpretability and understanding for PyTorch

482K 6K 557
mmschlk
shapiq

Shapley Interactions and Shapley Values for Machine Learning

26K 722 58
aerdem4
lofo-importance

Leave One Feature Out Importance

3K 867 83
broundal
pytolemaic

Toolbox for analysis of model's quality and model's description. For further details see

2K 10 3
bhagatsajan0073
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 resource allocation models.

2K 171 60
abdullah-al-masud
msdlib

This is a custom library for data processing, visualization and machine learning tools.

2K 14 2
duxuhao
mlfeatureselection

Features selector based on the self selected-algorithm, loss function and validation method

1K 679 198
EthicalML
xai

XAI - An industry-ready machine learning library that ensures explainable AI by design

938 1K 185
kingychiu
target-permutation-importances

A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.

791 15 1
lhallee
featureranker

Python package for feature ranking

522 7 0
roye10
shapley-lz

Computes the Shapley Lorenz Zonoid share of a set of covariates

467 3 1
DIME-XAI
dime-xai

Implementation of Dual Interpretable Model-agnostic Explanations for Rasa DIET classifiers

428 2 0
roye10
lorenz-zonoid

Computes the Shapley Lorenz Zonoid share of covariates

358 3 1
csinva
acd

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

353 126 21
statmlben
dnn-inference

Significance tests of feature relevance for a black-box learner

333 20 4
tdlabs-ai
tanml

Automated validation toolkit for tabular ML models in finance and regulated domains.

287 7 0
gcskoenig
fippy

Model-Agnostic Feature Importance in Python

86 9 1
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