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interpretml
interpret-core

Fit interpretable models. Explain blackbox machine learning.

957K 7K 783
interpretml
interpret

Fit interpretable models. Explain blackbox machine learning.

387K 7K 783
ottenbreit-data-science
aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

215K 23 5
interpretml
dice-ml

Generate Diverse Counterfactual Explanations for any machine learning model.

48K 2K 228
ModelOriented
dalex

moDel Agnostic Language for Exploration and eXplanation

36K 1K 170
mmschlk
shapiq

Shapley Interactions and Shapley Values for Machine Learning

26K 722 58
SelfExplainML
piml

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

9K 1K 136
11301858
xaisuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

5K 7 1
DiTEC-project
pyaerial

Scalable association rule mining from tabular datasets.

2K 30 4
sergioburdisso
pyss3

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:

1K 348 44
pietrobarbiero
torch-explain

PyTorch Explain: Interpretable Deep Learning in Python.

1K 171 17
salesforce
omnixai

OmniXAI: An Explainable AI Toolbox

954 967 105
explainX
explainx

Explain and debug any black-box Machine Learning model.

869 445 57
arthur-batel
lirisimpact

Repository contaning the original code of IMPACT algorithm, an interpretable model for ordinal predictions with multi-class outputs"

844 6 0
ryo-asashi
midlearn

A scikit-learn compatible Python wrapper of the midr R package

554 2 0
adaamko
xpotato

XAI based human-in-the-loop framework for automatic rule-learning.

483 49 8
smeznar
snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

479 11 2
rachtibat
zennit-crp

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

441 142 27
xai-demonstrator
visualime

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

432 6 1
edahelsinki
slise

Robust regression algorithm that can be used for explaining black box models (Python implementation)

393 6 1
interpretml
powerlift

Fit interpretable models. Explain blackbox machine learning.

390 7K 783
cair
pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

378 43 10
imatge-upc
survlimepy

Local interpretability for survival models

351 24 4
rebelosa
random-subgroups

A machine learning python package for learning ensembles of subgroups for predictive tasks.

322 7 0
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