interpretable-ml

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Updated Feb 27, 2023
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

MilesCranmer / SymbolicRegression.jl

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Distributed High-Performance Symbolic Regression in Julia

machine-learning julia symbolic-regression symbolic-computation automl interpretable-ml sciml

Updated Aug 7, 2023
Julia

sergioburdisso / pyss3

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A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

nlp machine-learning natural-language-processing text-mining data-mining text-classification machine-learning-algorithms artificial-intelligence document-classification sentence-classification interpretability multilabel-classification explainable-artificial-intelligence interpretable-ml xai interpretable-machine-learning document-categorization early-classification text-labeling ss3-classifier

Updated Jul 11, 2023
Python

chr5tphr / zennit

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Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

python machine-learning deep-learning attribution pytorch interpretability interpretable-ai interpretable-ml explainable-ai xai lrp explainability feature-attribution

Updated Jul 12, 2023
Python

xiyanghu / OSDT

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Optimal Sparse Decision Trees

python data-science machine-learning data-mining algorithm python3 accelerate interpretable-ml algorithm-optimization neurips ml-system mlsys acceleration-model

Updated Apr 27, 2023
Python

12wang3 / rrl

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The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

scalability representation-learning nips interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability neurips interpretable-classification rule-based-model neuro-symbolic-ai

Updated May 23, 2023
Python

fzi-forschungszentrum-informatik / TSInterpret

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An Open-Source Library for the interpretability of time series classifiers

time-series interpretability explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml interpretable-machine-learning counterfactual-explanations feature-attribution

Updated Aug 8, 2023
Python

ModelOriented / survex

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Explainable Machine Learning in Survival Analysis

Updated Aug 7, 2023
R

jphall663 / diabetes_use_case

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Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

python data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

Updated Jun 22, 2022
Jupyter Notebook

jphall663 / hc_ml

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Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

data-science machine-learning data-mining transparency fairness accountability interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated Nov 19, 2019
TeX

navdeep-G / interpretable-ml

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Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

python data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Jun 21, 2022
Jupyter Notebook

schwettmann / visual-vocab

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Pytorch-based tools for constructing a vocabulary of visual concepts in a GAN.

deep-learning pytorch gan human-computer-interaction interpretable-ml

Updated Feb 25, 2022
Jupyter Notebook

benjaminpatrickevans / XAI

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Genetic programming method for explaining complex black-box models

interpretable-deep-learning interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning

Updated Jun 21, 2022
Python

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