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A curated list of awesome machine learning interpretability resources.
python
data-science
machine-learning
data-mining
awesome
r
awesome-list
transparency
fairness
accountability
interpretability
interpretable-deep-learning
interpretable-ai
interpretable-ml
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fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
Jan 5, 2022
jklaise
commented
Sep 28, 2021
The Boston dataset which we use in some examples has an ethical problem and should be replaced. Read more here: https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html#sklearn.datasets.load_boston
Impacted examples:
cfproto_housing.ipynbale_regression_boston.ipynb
The above link suggests some similar housing-related alternatives.
oegedijk
commented
May 5, 2021
Recently dtreeviz has added support for lightgbm models: https://github.com/parrt/dtreeviz/
So it would be cool to add the same tree visualization in explainerdashboard that already exist for RandomForest, ExtraTrees and XGBoost models.
If someone wants to pitch in to help extract individual predictions of decision trees inside lightgbm boosters and then get them in shape to be used by the
Interpretability and explainability of data and machine learning models
machine-learning
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Feb 18, 2022 - Python
moDel Agnostic Language for Exploration and eXplanation
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Mar 14, 2022 - Python
data-science
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interpretable-ai
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Jul 9, 2020 - Python
XAI - An eXplainability toolbox for machine learning
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Oct 30, 2021 - Python
Generate Diverse Counterfactual Explanations for any machine learning model.
machine-learning
deep-learning
explainable-ai
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xai
interpretable-machine-learning
counterfactual-explanations
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Mar 15, 2022 - Python
Interesting resources related to XAI (Explainable Artificial Intelligence)
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Jan 7, 2022 - R
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
python
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Feb 10, 2021 - Jupyter Notebook
A collection of research materials on explainable AI/ML
xml
interpretability
explanation-system
interpretable-ai
explainable-ai
xai
counterfactual-explanations
recourse
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Mar 12, 2022
H2O.ai Machine Learning Interpretability Resources
python
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Dec 12, 2020 - Jupyter Notebook
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
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explainx
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Jan 7, 2022 - Jupyter Notebook
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Mar 6, 2022 - R
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI 
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)
nlp
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ss3-classifier
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Dec 6, 2021 - Python
A curated list of awesome Fairness in AI resources
machine-learning
ai
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bias
fairness
interpretability
adversarial-learning
xai
gender-bias
fairness-packages
prediction-outcome-discrimination
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Jan 26, 2022
Layer-wise Relevance Propagation (LRP) for LSTMs
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Apr 24, 2020 - Python
Repository for the Explainable Deep One-Class Classification paper
python
machine-learning
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explanations
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Mar 12, 2022 - Python
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
machine-learning
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Feb 13, 2022 - Jupyter Notebook
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Mar 14, 2022
Pytorch Implementation of recent visual attribution methods for model interpretability
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xai
visual-explanations
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patternnet
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Feb 27, 2020 - Jupyter Notebook
Papers about explainability of GNNs
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Mar 14, 2022
massimilianoporzio
commented
Aug 21, 2020
Did you planned to migrate the code from tensorflow 1.15 to tensorflow 2.3 compatibile?
Model Agnostics breakDown plots
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Apr 4, 2020 - R
Detect model's attention
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Jul 2, 2020 - Jupyter Notebook
Visualization tool for Graph Neural Networks
visualization
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Feb 16, 2022 - TypeScript
Fast approximate Shapley values in R
variable-importance
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xai
shapley
interpretable-machine-learning
shapley-values
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Dec 23, 2021 - R
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Mar 15, 2022 - Python
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
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Feb 6, 2022 - R
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