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Top 8 iml open source projects

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

✭ 2,404

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

Fit interpretable models. Explain blackbox machine learning.

diabetes use case

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

✭ 22

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

A Julia package for interpretable machine learning with stochastic Shapley values

✭ 63

julia feature-importance shapley interpretable-machine-learning iml shap shapley-value stochastic-shapley-values

interpretable-ml

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

✭ 17

Jupyter Notebook 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

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

✭ 15

python Jupyter Notebook 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

Data generator for Arena - interactive XAI dashboard

✭ 28

r ema interpretability xai iml explainability explanatory-model-analysis axplainable-artificial-intelligence interactive-xai

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

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