interpretml / interpret

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

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Aug 11, 2020
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h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated May 22, 2020
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sergioburdisso / pyss3

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A Python package implementing a new 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 Aug 19, 2020
Python

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 Sep 7, 2018
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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
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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 Jul 15, 2020
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h2oai / article-information-2019

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Article for Special Edition of Information: Machine Learning with Python

python data-science machine-learning interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml fairness-testing interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated May 6, 2020
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compstat-lmu / imlplots

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Create Interpretable Machine Learning plots with an interactive Shiny based dashboard

shinydashboard interpretable-ml

Updated Sep 19, 2018
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jphall663 / jsm_2018_paper

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Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

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

Updated Dec 7, 2018
TeX

12wang3 / mllp

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The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

Updated Feb 19, 2020
Python

ben-ix / 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 Sep 30, 2019
Python

pnxenopoulos / cav-keras

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Concept activation vectors for Keras

interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai interpretable-ml explainable-ai explainable-ml interpretable-machine-learning explainability

Updated Jan 28, 2020
Python

Jihunlee326 / InterpretableAI

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Interpretable AI with Safeguard AI (paper study, implement-code review)

interpretable-ai interpretable-ml

Updated Nov 11, 2018

akifcinar / Machine_Learning_Interpretability

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Overview of machine learning interpretation techniques and their implementations

python data-science machine-learning transparency interpretation interpretability model-interpretation interpretable-ai interpretable-ml mli xai interpretable-machine-learning machine-learning-interpretability interpretable-classifcation

Updated Aug 22, 2019
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ShinKyuY / Representer_Point_Selection_for_Explaining_Deep_Neural_Networks

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Tutorial on Representer Point Selection for Explaining Deep Neural Networks (CIFAR-10)

interpretable-deep-learning interpretable-ml interpretable-machine-learning

Updated Dec 2, 2019
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fpretto / interpretable_and_fair_ml

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Interpretability and Fairness in Machine Learning

interpretable-deep-learning interpretable-ai interpretable-ml interpretable-machine-learning fairness-ai model-interpretability fairness-ml

Updated Aug 5, 2020
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lorarjohns / explainable-machine-learning

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explainable and interpretable methods for AI and data science

interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated May 2, 2020
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OptimizingMind / optimizingmind.github.io

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Optimizing Mind static website v1

machine-learning ai machine-learning-algorithms ml artificial-intelligence artificial-neural-networks artificial-general-intelligence machinelearning machine-learning-api artificial-neural-network machine-intelligence artificial-intelligence-algorithms interpretability artifical-intelligense explainable-artificial-intelligence illuminated-ai interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated Oct 4, 2018
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CeciPani / MARLENA

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A python library to agnostically explain multi-label black-box classifiers (tabular data)

python3 explanation interpretability multilabel multilabel-classification explainable-artificial-intelligence interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning explainability multilabel-model xai-library

Updated Mar 31, 2020
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cedrickchee / gandissect

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PyTorch-based tools for visualizing and understanding the neurons of a GAN.

deep-learning generative-adversarial-network gan image-manipulation interactive-visualizations interpretable-ml pytorch-implementation

Updated Dec 8, 2018
Python

interpretable-ml

Here are 25 public repositories matching this topic...

interpretml / interpret

Interpret

jphall663 / awesome-machine-learning-interpretability

pytorch / captum

CSAILVision / gandissect

lopusz / awesome-interpretable-machine-learning

jphall663 / interpretable_machine_learning_with_python

h2oai / mli-resources

sergioburdisso / pyss3

jphall663 / diabetes_use_case

jphall663 / hc_ml

navdeep-G / interpretable-ml

h2oai / article-information-2019

compstat-lmu / imlplots

jphall663 / jsm_2018_paper

12wang3 / mllp

ben-ix / XAI

pnxenopoulos / cav-keras

Jihunlee326 / InterpretableAI

akifcinar / Machine_Learning_Interpretability

ShinKyuY / Representer_Point_Selection_for_Explaining_Deep_Neural_Networks

fpretto / interpretable_and_fair_ml

lorarjohns / explainable-machine-learning

OptimizingMind / optimizingmind.github.io

CeciPani / MARLENA

cedrickchee / gandissect

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